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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

docs/capabilities/INDEX.md

@@ -14,7 +14,7 @@ Indice de grupos de capacidades del registry. Cada grupo agrupa >=3 funciones qu
 
 | Grupo | N | Que cubre |
 |---|---|---|
-| [gamedev-2d](gamedev-2d.md) | 36 | Assets 2D para Godot via ComfyUI: 31 builders de workflow (pixelart/seamless/iso/sprite/topdown/card/enemy/prop/structure/foliage/trap/projectile/decal/particle/rune/weather/badge/skill-tree/dialogue/icon/portrait/VFX...) + 5 de apoyo: post-proceso (pixelize, luma->alpha) + puente de assets a Godot 4 (.import + reimport headless). Tag canonico `gamedev-2d` (antes `gamedev`, ya unificado) |
+| [gamedev-2d](gamedev-2d.md) | 47 | Assets 2D para Godot via ComfyUI: 36 builders de workflow (31 de generación desde texto: pixelart/seamless/iso/sprite/topdown/card/enemy/prop/structure/foliage/trap/projectile/decal/particle/rune/weather/badge/skill-tree/dialogue/icon/portrait/VFX... + 5 de transformación desde imagen: asset_variant/sprite_from_sketch/inpaint_asset/outpaint_asset/directional_sprite) + 11 de apoyo: post-proceso (pixelize, luma->alpha, flatten_alpha), puente de assets a Godot 4 (.import + reimport headless), style presets (get/apply_gamedev_style_preset) y pipelines one-shot (asset_pack/character_set/styled_asset). Tag canonico `gamedev-2d` (antes `gamedev`, ya unificado) |
 | [gamedev-engine](gamedev-engine.md) | 8 | Runtime de juego C++ multiplataforma (PC + WebAssembly): SDL3 + sokol_gfx + miniaudio. Game loop fixed-timestep, camara 2D, input unificado (teclado/gamepad/touch), sprite batch, setup de render/audio y build a wasm. Grupo hermano de `gamedev-2d` (este ejecuta el juego, aquel genera los assets) |
 | [registry](registry.md) | 17 | Auditoria y monitorizacion del propio registry: copied-code, uses-functions, unused, proposals, telemetria |
 | [systemd](systemd.md) | 14 | Generar, instalar, restart y status de unit files systemd via SSH (deploys a VPS) |
@@ -72,8 +72,9 @@ Indice de grupos de capacidades del registry. Cada grupo agrupa >=3 funciones qu
 | [seo](seo.md) | 3 | SEO orientado a datos sobre Google Search Console: autenticar con service account (`gsc_auth`), extraer Search Analytics paginado (`pull_gsc_search_analytics`) y el pipeline de ingesta a DuckDB + espejo Postgres para Metabase (`ingest_gsc_search_analytics`). Cadena de ingesta del proyecto `seo_analytics`; alimenta dashboards de striking distance, CTR opportunities y content decay |
 | [local-hub](local-hub.md) | 4 | Exponer los procesos locales como subdominios `*.localhost` (via Caddy, sin DNS) y reunirlos en una pantalla principal Glance con estado en vivo, refrescada a diario por dag_engine. Descubre servicios (manifiesto + registry), renderiza Caddyfile + config Glance (puras), y el pipeline `refresh_local_hub` regenera+recarga. Fuente de verdad: `apps/local_hub/local_services.yaml` |
 | [comfyui-judge](comfyui-judge.md) | 4 | Panel multi-juez de calidad de imagen: estético LAION-V2 (`comfyui_score_aesthetic`, 0-10) + fidelidad CLIP prompt↔imagen (`comfyui_score_clip_alignment`, 0-1) + crítica LLM-vision (`comfyui_critique_image_llm`, good/bad). Agregados por voto mayoría en `comfyui_judge_image`. Gate objetivo para tests/DoD y el bucle de mejora de skills ComfyUI; degrada con gracia si un juez cae. Jueces estético/fidelidad por subproceso al venv ComfyUI (torch+open_clip), crítico via claude-direct |
-| [comfyui](comfyui.md) | 29 | Controlar ComfyUI (Stable Diffusion por grafos) de dos formas: por API HTTP (build_txt2img_workflow puro → submit → wait → object_info; download_model con validación Civitai/HF) y por la UI web vía CDP sobre la pestaña abierta (load_workflow_ui, set_node_widget_ui para tunear prompt/steps/seed en vivo, queue_prompt_ui = botón Queue Prompt, export_workflow_ui, refresh_nodes_ui). El API format es el puente entre ambos caminos. Las funciones de UI componen `cdp_eval`. Incluye imagen→3D nativo (Hunyuan3D-2, tag `img-to-3d`): build_image_to_3d_workflow + fetch_output_mesh + install_3d_model + pipeline image_to_3d_oneshot |
+| [comfyui](comfyui.md) | 126 | Controlar ComfyUI (Stable Diffusion por grafos) de dos formas: por API HTTP (build_txt2img_workflow puro → submit → wait → object_info; download_model con validación Civitai/HF) y por la UI web vía CDP sobre la pestaña abierta (load_workflow_ui, set_node_widget_ui para tunear prompt/steps/seed en vivo, queue_prompt_ui = botón Queue Prompt, export_workflow_ui, refresh_nodes_ui). El API format es el puente entre ambos caminos. Las funciones de UI componen `cdp_eval`. Cubre txt2img/img2img/inpaint/controlnet/sdxl-refiner/flux, upscale + hires-fix + facedetailer, vídeo (LTX/Wan/SVD), audio (ACE-Step), imagen→3D nativo (Hunyuan3D-2) + post-proceso de malla, templates oficiales, civitai harvest y control de cola. N = funciones con tag `comfyui` (incluye los sub-grupos `comfyui-skill`/`comfyui-styles` y 45 de `gamedev-2d`); las páginas madre de cada sub-grupo desglosan su parte |
-| [comfyui-skill](comfyui-skill.md) | 11 | Tratar una configuración de generación ComfyUI como una skill: receta versionada en disco (checkpoint + LoRAs + params + scaffold de prompt + post-proceso) que se compila a un workflow cambiando solo el subject. Save/load/list de recetas, bucle de mejora genera→juzga→bump con gate objetivo (el score del juez decide qué se promueve), export de la skill a grafo cargable en el navegador, y cosecha de Civitai (extract_recipe_from_png + harvest oneshot) que destila el workflow embebido de una imagen pública en una skill candidata |
+| [comfyui-skill](comfyui-skill.md) | 17 | Tratar una configuración de generación ComfyUI como una skill: receta versionada en disco (checkpoint + LoRAs + params + scaffold de prompt + post-proceso) que se compila a un workflow cambiando solo el subject. Save/load/list de recetas, bucle de mejora genera→juzga→bump con gate objetivo (el score del juez decide qué se promueve), export de la skill a grafo cargable en el navegador, y cosecha de Civitai (extract_recipe_from_png + harvest oneshot) que destila el workflow embebido de una imagen pública en una skill candidata |
+| [comfyui-styles](comfyui-styles.md) | 5 | Capa de estilo reutilizable sobre los builders ComfyUI. Catálogo WAS (tag `comfyui-styles`): `curated_styles_catalog` (~190 estilos), `generate_styles_llm` (genera estilos por LLM via ask_llm), `append_styles` (merge+dedup+backup sobre el styles.json del selector WAS). Style presets gamedev (tag `gamedev-2d`): `get_gamedev_style_preset` (gameboy/ghibli/pixel-art-retro como datos puros) + `apply_style_preset` (preset+subject → kwargs de un builder gamedev-2d). El estilo se trata como dato curado, no como prompt repetido |
 | [comfyui-overview](comfyui-overview.md) | — | Mapa cross-grupo de las capacidades de generación ComfyUI (txt2img, img2img/inpaint, controlnet, skills/multiestilo-LoRA, video, upscale/detail, 3D, juez, operación): cada capacidad → builders/pipelines del registry + grafos UI + skills que la cubren. Índice de entrada al stack ComfyUI; las firmas y gotchas viven en `comfyui.md`/`comfyui-skill.md`/`comfyui-judge.md`. Catálogo navegable de los grafos en disco (subcarpetas por capacidad) en `~/ComfyUI/CAPABILITIES.md` |
 
 ## Como anadir grupo

docs/capabilities/comfyui-overview.md

@@ -8,7 +8,9 @@ Las tres páginas madre detalladas siguen siendo la fuente de verdad por grupo:
 
 - [comfyui.md](comfyui.md) — grupo `comfyui`: builders de workflow, ejecución HTTP, UI vía CDP, I/O.
 - [comfyui-skill.md](comfyui-skill.md) — grupo `comfyui-skill`: recetas de estilo versionadas.
+- [comfyui-styles.md](comfyui-styles.md) — grupo `comfyui-styles`: presets + catálogo de estilo (selector WAS).
 - [comfyui-judge.md](comfyui-judge.md) — grupo `comfyui-judge`: panel multi-juez de calidad.
+- [gamedev-2d.md](gamedev-2d.md) — grupo `gamedev-2d`: 47 builders de assets 2D para Godot (45 también `comfyui`).
 
 El catálogo navegable con los grafos concretos en disco (subcarpetas por capacidad, cómo cargar
 cada uno) vive **fuera del repo**, junto a la instalación: `~/ComfyUI/CAPABILITIES.md`. Este doc es
@@ -25,7 +27,9 @@ Filtros MCP: `mcp__registry__fn_search query="" tag="comfyui"` (y `tag="comfyui-
 | 02 | **img2img / inpaint** | imagen → imagen, regenerar zona enmascarada | `build_img2img`, `build_inpaint` | ✅ | — |
 | 03 | **controlnet** | generación guiada por mapa (depth/pose/canny) | `build_controlnet` | ✅ | — |
 | 04 | **skills (multiestilo/LoRA)** | recetas de estilo reproducibles con `{subject}` | `build_skill_workflow`, `inject_lora`, `generate_with_skill_oneshot`, `harvest_civitai_skill_oneshot` | ✅ ×2 | ✅ ×2 |
+| 04b | **styles (presets/catálogo)** | estilo reutilizable: catálogo WAS + presets gamedev | `curated_styles_catalog`, `generate_styles_llm`, `append_styles`, `get_gamedev_style_preset`, `apply_style_preset` | — | — |
 | 05 | **video** | imagen/texto → vídeo (SVD, LTX, Wan) | `build_img2vid`, `build_video` | ✅ | — |
+| 05b | **audio** | texto → música/SFX/voz (ACE-Step) | `build_audio_workflow`, `fetch_output_audio` | — | — |
 | 06 | **upscale / detail** | ampliar y recuperar detalle (ESRGAN, hires-fix, FaceDetailer) | `build_upscale`, `build_hires_fix`, `inject_hires_fix`, `build_facedetailer` | — | — |
 | 07 | **3D** | imagen/texto → malla 3D (Hunyuan3D) + limpieza | `build_image_to_3d`, `build_textured_3d_multiview`, `image_to_3d_oneshot`, `text_to_3d_oneshot`, `mesh_cleanup_oneshot` | — | — |
 | 08 | **juez / calidad** | puntuar lo generado (gate de DoD y bucle de mejora) | `judge_image`, `score_aesthetic`, `score_clip_alignment`, `critique_image_llm` | — | — |
@@ -67,6 +71,16 @@ sus IDs reales cuando se ejecute `fn index`.
 - `comfyui_extract_recipe_from_png_py_ml` — destila un PNG de Civitai en receta candidata.
 - CRUD + telemetría: `comfyui_list_skills_py_ml`, `comfyui_load_skill_py_ml`, `comfyui_save_skill_py_ml`, `comfyui_update_skill_score_py_ml`, `comfyui_bump_skill_version_py_ml`.
 
+### 04b · styles (presets / catálogo)
+
+Página madre: [comfyui-styles.md](comfyui-styles.md). Estilo reutilizable como dato, no como prompt repetido.
+
+- `comfyui_curated_styles_catalog_py_ml` (pura) — catálogo curado (~190 estilos) para el selector WAS.
+- `comfyui_generate_styles_llm_py_ml` (impura) — genera N estilos de una categoría vía `ask_llm`.
+- `comfyui_append_styles_py_ml` (impura) — fusiona estilos sobre el `styles.json` WAS (merge+dedup+backup).
+- `comfyui_get_gamedev_style_preset_py_ml` (pura) — receta de *style preset* gamedev (gameboy/ghibli/pixel-art-retro).
+- `comfyui_apply_style_preset_py_ml` (pura) — traduce un preset + subject a los kwargs de un builder gamedev-2d.
+
 ### 05 · video
 
 - `comfyui_build_img2vid_workflow_py_ml` (pura) — SVD: condicionamiento por CLIP_VISION (sin prompt de texto).

docs/capabilities/comfyui-skill.md

@@ -12,6 +12,13 @@ submit/wait). Una skill no es un workflow: es la *receta* que compila a uno.
 
 Filtro MCP: `mcp__registry__fn_search query="" tag="comfyui-skill"`.
 
+> **Tamaño del grupo (al 28/06/2026):** 17 funciones con tag `comfyui-skill` — CRUD de recetas
+> (save/load/list), compilación a workflow (`build_skill_workflow`), inyectores encadenables
+> (`inject_hires_fix`/`inject_multi_lora`, `build_ipadapter_workflow`), bucle de mejora
+> genera→juzga→bump (`generate_with_skill_oneshot` + `update_skill_score` + `bump_skill_version`),
+> export a grafo (`export_skill_template`), mixer de capacidades (`compose_capabilities` +
+> `generate_mixed_oneshot`) y cosecha de Civitai (`extract_recipe_from_png` + `harvest_civitai_skill_oneshot`).
+
 ## Qué es una skill
 
 Una receta vive en `~/ComfyUI/skills_library/<slug>/` y la manipulan las funciones de este grupo:

docs/capabilities/comfyui-styles.md

@@ -0,0 +1,101 @@
+# ComfyUI Styles — presets y catálogo de estilo
+
+Tag: `comfyui-styles` (+ `gamedev-2d` para los dos presets gamedev). Sub-grupo de
+[`comfyui`](comfyui.md) que añade una **capa de estilo reutilizable** sobre los builders de
+workflow: en vez de repetir a mano los mismos modificadores de cámara/iluminación/render en cada
+prompt, el estilo se trata como un dato curado y reusable.
+
+Dos vertientes complementarias:
+
+- **Catálogo WAS** (`comfyui-styles`): ~190 estilos curados en el formato exacto del selector WAS de
+  ComfyUI (*Prompt Styles Selector* / *Prompt Multiple Styles Selector*), generación de estilos
+  nuevos por LLM, y fusión segura sobre el `styles.json` del usuario.
+- **Style presets gamedev** (`gamedev-2d`): recetas que empaquetan como datos puros el *look* de un
+  juego entero (prefijo/sufijo de prompt, checkpoint, LoRA, negative, tamaño, post-proceso) y se
+  traducen a los kwargs que consume un builder de sujeto del grupo [`gamedev-2d`](gamedev-2d.md).
+
+Filtro MCP: `mcp__registry__fn_search query="" tag="comfyui-styles"` (catálogo WAS) y
+`mcp__registry__fn_search query="style preset" tag="gamedev-2d"` (presets gamedev).
+
+## Funciones del grupo
+
+### Catálogo WAS — dominio `ml` (tag `comfyui-styles`)
+
+| ID | Firma corta | Qué hace |
+|---|---|---|
+| [comfyui_curated_styles_catalog_py_ml](../../python/functions/ml/comfyui_curated_styles_catalog.md) | `curated_styles_catalog(category=None) -> dict` | Catálogo curado (~190 estilos) en el formato exacto `{nombre: {prompt, negative_prompt}}` que consume el selector WAS. Cada `prompt` son modificadores de estilo potentes (cámara, lente, iluminación, render engine, medio artístico, paleta, mood), no descripciones de escena. Filtra por `category`. **Pura**. |
+| [comfyui_generate_styles_llm_py_ml](../../python/functions/ml/comfyui_generate_styles_llm.md) | `generate_styles_llm(category, n=8, prefix='', avoid=None, model='claude-haiku-4-5-20251001') -> dict` | Genera N estilos de una categoría temática usando `ask_llm` (grupo claude-direct, API directa, arranque 0), en el mismo formato `{nombre: {prompt, negative_prompt}}`. `avoid` evita duplicar nombres ya existentes. **Impura** (LLM). |
+| [comfyui_append_styles_py_ml](../../python/functions/ml/comfyui_append_styles.md) | `append_styles(new_styles, styles_path=DEFAULT_STYLES_PATH, overwrite=False, backup=True, dry_run=False) -> dict` | Fusiona (merge + dedup por nombre) un dict de estilos sobre el `styles.json` del selector WAS de forma SEGURA y NO destructiva: preserva todos los existentes (ganan salvo `overwrite=True`), hace backup con timestamp antes de escribir. `dry_run=True` previsualiza sin tocar disco. **Impura** (I/O disco). |
+
+### Style presets gamedev — dominio `ml` (tag `gamedev-2d`)
+
+| ID | Firma corta | Qué hace |
+|---|---|---|
+| [comfyui_get_gamedev_style_preset_py_ml](../../python/functions/ml/comfyui_get_gamedev_style_preset.md) | `get_gamedev_style_preset(name=None) -> dict` | Devuelve la receta de un *style preset* gamedev curado (`gameboy`, `ghibli`, `pixel-art-retro`) o el catálogo de nombres si `name=None`. Un preset empaqueta como DATOS puros el look de un juego entero: `subject_prefix`/`suffix`, `style`, `negative`, checkpoint recomendado, LoRA + strength, `size`, `transparent`, post-proceso. **Pura**. |
+| [comfyui_apply_style_preset_py_ml](../../python/functions/ml/comfyui_apply_style_preset.md) | `apply_style_preset(preset, subject, *, style=None, negative=None) -> dict` | Traduce un *style preset* gamedev (de `get_gamedev_style_preset`) + un `subject` del usuario a lo que necesita un builder de sujeto del grupo gamedev-2d: el subject combinado con el prefijo/sufijo del estilo y los kwargs comunes (`style`, `checkpoint`, `lora`, `lora_strength`, `negative`, resolución) listos para `**spread`. `style`/`negative` permiten override puntual. **Pura**. |
+
+## Ejemplo canónico — generar un estilo, fusionarlo y aplicarlo
+
+Dos flujos típicos: (1) ampliar el catálogo del selector WAS, y (2) usar un preset gamedev para
+generar un asset con look consistente.
+
+### A) Ampliar el catálogo WAS con estilos nuevos por LLM
+
+```python
+import sys, os
+sys.path.insert(0, os.path.join("python", "functions"))
+from ml.comfyui_generate_styles_llm import comfyui_generate_styles_llm
+from ml.comfyui_append_styles import comfyui_append_styles
+
+# 1. Pedir 6 estilos de una categoría. Devuelve el dict {nombre: {prompt, negative_prompt}}
+#    directo (best-effort: {} si el LLM falla).
+nuevos = comfyui_generate_styles_llm("film noir cinematic", n=6, prefix="noir-")
+
+# 2. Previsualizar la fusión (no escribe), luego aplicar con backup.
+if nuevos:
+    print(comfyui_append_styles(nuevos, dry_run=True)["total_after"])   # nº tras fusionar, sin tocar disco
+    res = comfyui_append_styles(nuevos)                                  # backup + merge + dedup + escritura
+    print(res["total_before"], "->", res["total_after"], "añadidos:", len(res["added"]))
+```
+
+### B) Aplicar un style preset gamedev a un sujeto
+
+```python
+import sys, os
+sys.path.insert(0, os.path.join("python", "functions"))
+from ml.comfyui_get_gamedev_style_preset import comfyui_get_gamedev_style_preset
+from ml.comfyui_apply_style_preset import comfyui_apply_style_preset
+from ml.comfyui_build_enemy_creature_workflow import comfyui_build_enemy_creature_workflow
+
+preset = comfyui_get_gamedev_style_preset("gameboy")     # receta pura del look Game Boy
+ap = comfyui_apply_style_preset(preset, "a wizard casting a spell")
+# ap = {subject, builder_kwargs, size, transparent, post, ...} listo para un builder gamedev-2d:
+wf = comfyui_build_enemy_creature_workflow(
+    ap["subject"], size=ap["size"], transparent=ap["transparent"], **ap["builder_kwargs"]
+)
+```
+
+El catálogo curado completo se consulta sin red (devuelve el dict plano directo):
+
+```python
+from ml.comfyui_curated_styles_catalog import comfyui_curated_styles_catalog
+print(comfyui_curated_styles_catalog("__categories__"))  # {'categories': {...}, 'total': 190}
+todos = comfyui_curated_styles_catalog()                  # dict {nombre: {prompt, negative_prompt}}
+print(len(todos), list(todos)[:5])
+```
+
+## Fronteras
+
+- **No genera imágenes**: este sub-grupo produce y gestiona DATOS de estilo (dicts de prompt /
+  negative, presets). Generar el asset es trabajo de los builders del grupo [`comfyui`](comfyui.md)
+  y [`gamedev-2d`](gamedev-2d.md), o de los pipelines oneshot (p.ej.
+  `comfyui_generate_styled_asset_oneshot_py_pipelines`, que compone un preset + un builder + submit).
+- **El catálogo WAS asume el custom node WAS instalado**: `append_styles` escribe sobre el
+  `styles.json` que lee el selector WAS en la UI. Sin ese node, el catálogo sigue siendo usable como
+  dict de modificadores, pero el selector no aparecerá en el grafo.
+- **Los dos presets gamedev (`get`/`apply`) llevan tag `gamedev-2d`**, no `comfyui-styles`: son la
+  vía de estilo para los builders de assets de juego, no para el selector WAS genérico. Se listan
+  aquí por afinidad de capacidad (estilo reutilizable).
+- **Formato exacto**: el dict de estilos es `{nombre: {prompt, negative_prompt}}`. Los prompts son
+  modificadores (cámara/lente/luz/render/medio/paleta/mood), no descripciones de escena — la escena
+  la pone el `subject` del usuario.

docs/capabilities/comfyui.md

@@ -13,6 +13,17 @@ Tag: `comfyui`. Grupo de funciones para controlar [ComfyUI](https://github.com/c
 
 Filtro MCP: `mcp__registry__fn_search query="" tag="comfyui"`.
 
+> **Tamaño del grupo (al 28/06/2026):** 126 funciones con tag `comfyui` (63 puras, 50 impuras,
+> 13 pipelines). El grupo se reparte en sub-grupos con página madre propia:
+> [`comfyui-skill`](comfyui-skill.md) (recetas de estilo versionadas),
+> [`comfyui-styles`](comfyui-styles.md) (presets + catálogo de estilo para el selector WAS),
+> [`comfyui-judge`](comfyui-judge.md) (panel de calidad) y
+> [`gamedev-2d`](gamedev-2d.md) (assets 2D para Godot: 47 funciones, 45 de ellas también `comfyui`).
+> Esta página documenta el **núcleo** (lifecycle del server, API HTTP, builders, I/O de workflows,
+> imagen→3D, UI por CDP, audio, templates); los builders específicos de gamedev-2d viven en su
+> propia página. El mapa cross-grupo de capacidades está en
+> [comfyui-overview.md](comfyui-overview.md).
+
 ## Dos caminos, mismo motor
 
 ```
@@ -44,7 +55,7 @@ El **API format** (dict de nodos numerados que produce `build_txt2img_workflow`
 | ID | Firma corta | Qué hace |
 |---|---|---|
 | [comfyui_build_txt2img_workflow_py_ml](../../python/functions/ml/comfyui_build_txt2img_workflow.md) | `build_txt2img_workflow(ckpt_name, positive, negative='', *, steps, cfg, width, height, seed, ...) -> dict` | Construye el dict del workflow txt2img básico (Checkpoint → CLIPTextEncode×2 + EmptyLatent → KSampler → VAEDecode → SaveImage) en API format. **Pura**. |
-| [comfyui_build_flux_workflow_py_ml](../../python/functions/ml/comfyui_build_flux_workflow.md) | `build_flux_workflow(prompt, *, unet='flux1-schnell-fp8-e4m3fn.safetensors', clip_l, t5xxl, vae='ae.safetensors', width=1024, height=1024, steps=4, guidance=3.5, seed, weight_dtype='fp8_e4m3fn', ...) -> dict` | Builder txt2img para **Flux** (schnell/dev): UNETLoader + DualCLIPLoader (clip_l + t5xxl, type flux) + VAELoader → CLIPTextEncode → FluxGuidance + EmptySD3LatentImage → KSampler (cfg fijo 1.0) → VAEDecode → SaveImage. La guía va por FluxGuidance, no por el cfg. fp8 + ~4 pasos para 8 GB. **Pura**. |
+| [comfyui_build_flux_workflow_py_ml](../../python/functions/ml/comfyui_build_flux_workflow.md) | `build_flux_workflow(prompt, *, variant='schnell', width=1024, height=1024, steps=None, guidance=3.5, seed=0, unet_name=None, clip_l_name='clip_l.safetensors', t5xxl_name='t5xxl_fp8_e4m3fn_scaled.safetensors', vae_name='ae.safetensors', weight_dtype='default', sampler_name='euler', scheduler='simple', ...) -> dict` | Builder txt2img para **Flux** (`variant='schnell'` o `'dev'`): UNETLoader + DualCLIPLoader (clip_l + t5xxl, type flux) + VAELoader → CLIPTextEncode → FluxGuidance + EmptySD3LatentImage → camino custom-advanced (RandomNoise + KSamplerSelect + BasicScheduler → BasicGuider → SamplerCustomAdvanced) → VAEDecode → SaveImage. La guía va por FluxGuidance, no por el cfg. `steps=None` autoselecciona por variante (~4 schnell); `unet_name=None` deduce el checkpoint de la variante; `weight_dtype='default'`. **Pura**. |
 | [comfyui_object_info_py_ml](../../python/functions/ml/comfyui_object_info.md) | `object_info(server='127.0.0.1:8188', node_class=None, timeout) -> dict` | Catálogo de nodos del server: inputs, tipos y enums (lista de checkpoints/samplers visibles). Para validar antes de enviar. Impura. |
 | [comfyui_submit_workflow_py_ml](../../python/functions/ml/comfyui_submit_workflow.md) | `submit_workflow(workflow, server, client_id, timeout) -> dict` | Encola un workflow API format vía POST /prompt; devuelve `prompt_id` + posición en cola. HTTP 400 propaga la validación por nodo. Impura. |
 | [comfyui_wait_result_py_ml](../../python/functions/ml/comfyui_wait_result.md) | `wait_result(prompt_id, server, timeout, poll_interval) -> dict` | Sondea GET /history/{prompt_id} hasta que termina; devuelve los outputs (PNGs con filename/subfolder/type). Impura. |
@@ -207,6 +218,22 @@ un error accionable, sin lanzar.
 | [comfyui_list_templates_py_ml](../../python/functions/ml/comfyui_list_templates.md) | `list_templates(comfyui_python=None, bundle=None, name_filter=None, with_nodes=True, workflows_only=True, limit=0) -> dict` | Lista los templates oficiales con su grafo: nombre, bundle/categoría, path en disco, `n_nodes` y `node_types` (class_types reales, aplanando subgrafos y descartando UUID de instancia). Filtra por bundle/nombre; excluye entradas no-workflow por defecto. Impura (lee disco vía el intérprete de ComfyUI). |
 | [comfyui_extract_template_py_ml](../../python/functions/ml/comfyui_extract_template.md) | `extract_template(name, comfyui_python=None, to_api=False, server='127.0.0.1:8188') -> dict` | Extrae el grafo completo (formato UI) + `class_types` de un template por su `template_id`. `to_api=True` lo convierte a API format vía `comfyui_import_workflow_json` (requiere servidor ComfyUI vivo). Nombre inexistente → `ok=False` con sugerencias cercanas, sin traceback. Impura. |
 
+### Estilos — presets y catálogo (sub-grupo `comfyui-styles`)
+
+Capa de **estilo reutilizable** sobre los builders: un catálogo curado de ~190 modificadores de
+estilo para el selector WAS (Prompt Styles Selector), generación de estilos por LLM, y *style
+presets* gamedev (gameboy, ghibli, pixel-art-retro) que empaquetan como datos puros el look de un
+juego entero (prefijo/sufijo de prompt, checkpoint, LoRA, negative, tamaño). Página madre dedicada:
+[comfyui-styles.md](comfyui-styles.md). Las 5 funciones:
+
+| ID | Firma corta | Qué hace |
+|---|---|---|
+| [comfyui_curated_styles_catalog_py_ml](../../python/functions/ml/comfyui_curated_styles_catalog.md) | `curated_styles_catalog(category=None) -> dict` | Catálogo curado (~190 estilos) en formato `{nombre: {prompt, negative_prompt}}` para el selector WAS. Cada prompt son modificadores potentes (cámara, lente, iluminación, render, medio, paleta). **Pura**. |
+| [comfyui_generate_styles_llm_py_ml](../../python/functions/ml/comfyui_generate_styles_llm.md) | `generate_styles_llm(category, n=8, prefix='', avoid=None, model='claude-haiku-4-5-...') -> dict` | Genera N estilos nuevos de una categoría temática vía `ask_llm` (grupo claude-direct), en el mismo formato del selector WAS. **Impura**. |
+| [comfyui_append_styles_py_ml](../../python/functions/ml/comfyui_append_styles.md) | `append_styles(new_styles, styles_path=..., overwrite=False, backup=True, dry_run=False) -> dict` | Fusiona (merge + dedup) estilos nuevos sobre el `styles.json` del selector WAS de forma NO destructiva: preserva los existentes (salvo `overwrite`), backup con timestamp. **Impura**. |
+| [comfyui_get_gamedev_style_preset_py_ml](../../python/functions/ml/comfyui_get_gamedev_style_preset.md) | `get_gamedev_style_preset(name=None) -> dict` | Devuelve la receta de un *style preset* gamedev curado (gameboy, ghibli, pixel-art-retro) o el catálogo de nombres si `name=None`. Empaqueta el look como datos puros. **Pura**. |
+| [comfyui_apply_style_preset_py_ml](../../python/functions/ml/comfyui_apply_style_preset.md) | `apply_style_preset(preset, subject, *, style=None, negative=None) -> dict` | Traduce un *style preset* gamedev + un subject del usuario a los kwargs que consume un builder de sujeto del grupo gamedev-2d (subject combinado + `**kwargs` listos para spread). **Pura**. |
+
 ## Ejemplo canónico end-to-end (build → load → tune → queue → resultado)
 
 Combina API + UI: construyes el workflow por API, lo cargas en la UI del usuario, ajustas el

docs/capabilities/gamedev-2d.md

@@ -11,8 +11,9 @@ Cluster de funciones para producir y mover assets 2D de juego entre **ComfyUI**
 3. **Puente de assets** (CPU): coloca el resultado en un proyecto Godot
    con sus import settings.
 
-Tag único del grupo: `gamedev-2d` (los 31 builders de workflow + las 5 funciones de
+Tag único del grupo: `gamedev-2d` — **47 funciones**: 36 builders de workflow (31 de
-apoyo de post-proceso y puente). El tag plano `gamedev` quedó deprecado y unificado a
+generación desde texto + 5 de transformación desde una imagen de entrada) + 11 de apoyo
+(post-proceso, puente a Godot, style presets y pipelines one-shot). El tag plano `gamedev` quedó deprecado y unificado a
 `gamedev-2d`. El **runtime de juego C++** (el motor que ejecuta el juego: game loop,
 cámara, input, render por lotes, audio) vive en el grupo hermano `gamedev-engine`.
 Filtro: `mcp__registry__fn_search query="" tag="gamedev-2d"`.

python/functions/ml/comfyui_build_asset_variant_workflow.md

@@ -49,7 +49,9 @@ params:
   - name: filename_prefix
     desc: "Prefijo del archivo de salida en SaveImage. keyword-only."
 output: "dict en API format listo para comfyui_submit_workflow: img2img base (parte de input_image) con prompt de variante + ImageScale opcional (normaliza a size) + LoRA opcional. Nodos: CheckpointLoaderSimple '4', LoadImage '10', VAEEncode '11', CLIPTextEncode '6'/'7', KSampler '3' (denoise medio), VAEDecode '8', SaveImage '9', + ImageScale y LoraLoader si aplican."
-tested: false
+tested: true
+tests: ["estructura img2img (LoadImage+VAEEncode, sin EmptyLatentImage)", "input_image/prompt reflejados en LoadImage y CLIPTextEncode positivo", "size por defecto inserta ImageScale a 512; size=None lo omite", "denoise se clampa a [0,1]", "filename_prefix/seed/lora opcional reflejados", "input_image o variant vacios -> ValueError", "determinismo: misma entrada -> mismo dict"]
+test_file_path: "python/functions/ml/tests/test_comfyui_build_asset_variant_workflow.py"
 file_path: python/functions/ml/comfyui_build_asset_variant_workflow.py
 ---
 

python/functions/ml/comfyui_build_directional_sprite_workflow.md

@@ -44,7 +44,9 @@ params:
   - name: filename_prefix
     desc: "Prefijo del archivo de salida del SaveImage. keyword-only."
 output: "dict en API format listo para comfyui_submit_workflow (claves = node_ids string, valores = class_type + inputs). SV3D: ImageOnlyCheckpointLoader + LoadImage + SV3D_Conditioning + VideoLinearCFGGuidance + KSampler + VAEDecode + SaveImage (los N frames del orbit). Zero123: ImageOnlyCheckpointLoader + LoadImage + StableZero123_Conditioning_Batched + KSampler + VAEDecode + SaveImage (un batch de directions vistas). El frame i (i-esima imagen del SaveImage, azimuth creciente desde la frontal) = direccion i de directional_sprite_view_order(directions). El modulo expone ademas directional_sprite_view_order(directions) -> lista de nombres de direccion alineada por indice con los frames."
-tested: false
+tested: true
+tests: ["sv3d: estructura + orbit (video_frames=directions, size nativa 576)", "orbit_frames override", "zero123: StableZero123_Conditioning_Batched, azimuth equiespaciado, size 256", "cfg/ckpt por defecto segun modelo", "elevation/seed reflejados", "directional_sprite_view_order para 4/8/N", "errores: input vacio, model invalido, directions<1", "determinismo"]
+test_file_path: "python/functions/ml/tests/test_comfyui_build_directional_sprite_workflow.py"
 file_path: "python/functions/ml/comfyui_build_directional_sprite_workflow.py"
 ---
 

python/functions/ml/comfyui_build_grid.md

@@ -26,9 +26,9 @@ params:
   - name: labels
     desc: "rotulos opcionales, uno por imagen (mismo orden); reservan una franja bajo cada celda."
 output: "dict con ok (bool), out_path (str, ruta del PNG generado), rows (int, filas), cols (int, columnas), error (str, vacio si OK)."
-tested: false
+tested: true
-tests: []
+tests: ["grid basico: ok + out_path + cols/rows (ceil(sqrt(N)))", "cols explicito define filas", "cell define dimension del canvas", "labels reservan franja bajo cada celda", "error: lista vacia", "error: ruta inexistente", "determinismo del dict de salida"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_build_grid.py"
 file_path: "python/functions/ml/comfyui_build_grid.py"
 ---
 

python/functions/ml/comfyui_build_inpaint_asset_workflow.md

@@ -57,7 +57,9 @@ params:
   - name: filename_prefix
     desc: "Prefijo del archivo de salida en SaveImage. keyword-only."
 output: "dict en API format listo para comfyui_submit_workflow: inpaint que repinta SOLO la region marcada en blanco por la mascara, conservando el resto del asset, con grow_mask para difuminar la costura, escalado consistente opcional (img+mask) y LoRA de estilo opcional. Nodos modo vae_encode: CheckpointLoaderSimple '4', LoadImage '10', LoadImageMask '12', VAEEncodeForInpaint '11', CLIPTextEncode '6'/'7', KSampler '3', VAEDecode '8', SaveImage '9' (+ ImageScale/ImageToMask si size, + LoraLoader si lora). Modo noise_mask sustituye VAEEncodeForInpaint por VAEEncode + SetLatentNoiseMask (+ GrowMask)."
-tested: false
+tested: true
+tests: ["estructura vae_encode (LoadImage+LoadImageMask+VAEEncodeForInpaint)", "prompt de region + grow_mask reflejados", "grow_mask se clampa a [0,64]", "mode noise_mask degrada a VAEEncode+SetLatentNoiseMask+GrowMask", "size inserta ImageScale a imagen y mascara + ImageToMask", "lora opcional + filename_prefix", "errores: input/mask/prompt vacios, mode invalido", "determinismo"]
+test_file_path: "python/functions/ml/tests/test_comfyui_build_inpaint_asset_workflow.py"
 file_path: python/functions/ml/comfyui_build_inpaint_asset_workflow.py
 ---
 

python/functions/ml/comfyui_build_outpaint_asset_workflow.md

@@ -55,7 +55,9 @@ params:
   - name: filename_prefix
     desc: "Prefijo del archivo de salida en SaveImage. keyword-only."
 output: "dict en API format listo para comfyui_submit_workflow: outpaint que extiende el lienzo por los lados pedidos y genera lo nuevo con '{prompt}, {style}, seamless extension...', conservando el asset original. Nodos: CheckpointLoaderSimple '4', LoadImage '10', ImagePadForOutpaint (id nuevo, reusa el '12' que libera el LoadImageMask eliminado), VAEEncodeForInpaint '11' (pixels <- pad IMAGE, mask <- pad MASK), CLIPTextEncode '6'/'7', KSampler '3', VAEDecode '8', SaveImage '9' (+ LoraLoader si lora). El LoadImageMask de la base inpaint se elimina: la mascara la GENERA el pad."
-tested: false
+tested: true
+tests: ["estructura outpaint (ImagePadForOutpaint, sin LoadImageMask)", "pad cableado a VAEEncodeForInpaint (pixels<-IMAGE, mask<-MASK)", "extensiones redondeadas a multiplo de 8", "sin extension (todo 0 tras redondear) -> ValueError", "feather y prompt reflejados", "lora opcional + filename_prefix", "errores: input/prompt vacios", "determinismo"]
+test_file_path: "python/functions/ml/tests/test_comfyui_build_outpaint_asset_workflow.py"
 file_path: python/functions/ml/comfyui_build_outpaint_asset_workflow.py
 ---
 

python/functions/ml/comfyui_build_parallax_background_workflow.md

@@ -78,6 +78,21 @@ CheckpointLoaderSimple -> ... -> KSampler -> VAEDecode --IMAGE--+-> SaveImage (f
                                                                  `-> DepthAnythingV2Preprocessor -> SaveImage (depth)
 ```
 
+## Ejemplo
+
+```python
+import sys, os
+sys.path.insert(0, os.path.join("python", "functions"))
+from ml.comfyui_build_parallax_background_workflow import comfyui_build_parallax_background_workflow
+
+# Fondo apaisado + su mapa de profundidad, 4 bandas de parallax (función pura, sin red).
+wf = comfyui_build_parallax_background_workflow("forest at dusk, fantasy", layers=4, seed=7)
+
+# El dict API format trae DOS SaveImage: el fondo y el depth map. Encólalo con submit_workflow.
+saves = [n for n in wf.values() if n.get("class_type") == "SaveImage"]
+print(len(saves), "SaveImage (fondo + depth)")   # 2
+```
+
 ## Cuando usarla
 
 Cuando necesites el fondo de un nivel 2D con scroll parallax y quieras las capas

python/functions/ml/comfyui_build_sprite_from_sketch_workflow.md

@@ -51,7 +51,9 @@ params:
   - name: filename_prefix
     desc: "Prefijo del archivo de salida en SaveImage. keyword-only."
 output: "dict en API format listo para comfyui_submit_workflow: txt2img base (CheckpointLoaderSimple '4', EmptyLatentImage '5', CLIPTextEncode '6'/'7', KSampler '3' denoise 1.0, VAEDecode '8', SaveImage '9') + rama ControlNet (LoadImage del boceto -> [Preprocessor del control_type si preprocess] -> ControlNetApply -> KSampler.positive, con ControlNetLoader del modelo CN) + LoraLoader si lora. Es UN sprite; varios objetos del mismo set -> llamar por subject/sketch_image con el mismo style/checkpoint/(lora)."
-tested: false
+tested: true
+tests: ["estructura txt2img + ControlNet (EmptyLatentImage, ControlNetLoader/Apply)", "lineart: preprocesador + modelo por defecto, ControlNetApply consume el mapa de lineas", "canny: preprocesador + modelo", "preprocess=False pasa el boceto directo al ControlNet", "controlnet_name override + strength reflejado", "strength se clampa a [0,2]", "lora opcional", "errores: sketch/subject vacios, control_type invalido", "determinismo"]
+test_file_path: "python/functions/ml/tests/test_comfyui_build_sprite_from_sketch_workflow.py"
 file_path: python/functions/ml/comfyui_build_sprite_from_sketch_workflow.py
 ---
 

python/functions/ml/comfyui_critique_image_llm.md

@@ -26,9 +26,9 @@ params:
   - name: token
     desc: "Token OAuth; si vacio lo carga ask_llm_vision automaticamente. keyword-only."
 output: "dict {ok, verdict, score_0_10, reasons, error}. En exito ok=True, verdict 'good'|'bad', score_0_10 el score del modelo y reasons la lista de razones. En error (imagen invalida, API caida, 429, JSON no parseable) ok=False con error. Nunca lanza excepcion."
-tested: false
+tested: true
-tests: []
+tests: ["_extract_json: fence json", "_extract_json: brace plano", "_extract_json: sin objeto -> ValueError", "flujo: veredicto estructurado good", "verdict ambiguo -> bad conservador", "API caida -> ok=False", "respuesta no parseable -> ok=False"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_critique_image_llm.py"
 file_path: "python/functions/ml/comfyui_critique_image_llm.py"
 ---
 

python/functions/ml/comfyui_extract_recipe_from_png.md

@@ -26,9 +26,9 @@ params:
   - name: nsfw
     desc: "Marca provenance.nsfw. keyword-only."
 output: "dict {ok, recipe, slug, has_workflow, error}. recipe sigue el schema minimo de comfyui_save_skill con provenance.source='civitai' y score_n=0. ok=False solo si no hay ni workflow embebido ni civitai_meta utilizable."
-tested: false
+tested: true
-tests: []
+tests: ["_slugify (normaliza y acota a 6 tokens)", "_loras_from_prompt", "_dims_from_prompt + _checkpoint_from_prompt", "_detect_base_workflow (flux/txt2img)", "_from_civitai_meta (mapea steps/cfg/size/modelo/prompts)", "flujo fallback a civitai_meta sin workflow embebido", "slug derivado del prompt", "error: sin workflow ni meta"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_extract_recipe_from_png.py"
 file_path: "python/functions/ml/comfyui_extract_recipe_from_png.py"
 ---
 

python/functions/ml/comfyui_flatten_alpha_on_color.md

@@ -26,9 +26,9 @@ params:
   - name: resample
     desc: "filtro de reescalado: 'lanczos' (por defecto), 'nearest', 'bilinear', 'bicubic', 'area'. String desconocido -> LANCZOS. keyword-only."
 output: "dict con ok (bool), out_path (str, ruta del PNG RGB; vacio si error), size ([w,h] final), error (str, vacio si OK)."
-tested: false
+tested: true
-tests: []
+tests: ["aplana transparente sobre blanco -> RGB sin alpha", "color de fondo personalizado", "size redimensiona a cuadrado", "out_path por defecto con sufijo _flat", "error: imagen inexistente", "determinismo (mismos bytes de salida)"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_flatten_alpha_on_color.py"
 file_path: "python/functions/ml/comfyui_flatten_alpha_on_color.py"
 ---
 

python/functions/ml/comfyui_import_workflow_json.md

@@ -22,9 +22,9 @@ params:
   - name: timeout
     desc: "Timeout HTTP en segundos. keyword-only."
 output: "dict {ok, workflow, format_detected, error}. workflow = dict en API format; format_detected = 'api' (passthrough) o 'ui_graph' (convertido) o ''. Si falla la lectura/parse, ok=False y error explica."
-tested: false
+tested: true
-tests: []
+tests: ["API format se devuelve tal cual (format=api)", "UI graph se normaliza a API (descarta Note, resuelve conexiones)", "JSON invalido -> error", "formato no reconocido -> error", "JSON no es objeto -> error", "archivo inexistente -> error", "determinismo"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_import_workflow_json.py"
 file_path: "python/functions/ml/comfyui_import_workflow_json.py"
 ---
 

python/functions/ml/comfyui_judge_image.md

@@ -32,9 +32,9 @@ params:
   - name: venv_python
     desc: "Python del venv ComfyUI para los jueces estetico/fidelidad. keyword-only."
 output: "dict {ok, verdict, score, votes, reasons, error, details}. verdict 'good'|'bad' por mayoria; score media ponderada 0-10 de los jueces vivos; votes = {clip, aesthetic, llm} cada uno 'good'|'bad'|'failed'; reasons agrega razones del critico + notas de jueces caidos; details lleva el dict crudo de cada juez. ok=False solo si los tres fallan."
-tested: false
+tested: true
-tests: []
+tests: ["tres votos good -> verdict good + score medio", "mayoria bad", "empate -> bad conservador", "juez caido se excluye sin crashear", "los tres jueces fallan -> ok=False", "weights afectan score pero no el voto"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_judge_image.py"
 file_path: "python/functions/ml/comfyui_judge_image.py"
 ---
 

python/functions/ml/comfyui_read_png_metadata.md

@@ -18,9 +18,9 @@ params:
   - name: png_path
     desc: "Ruta local del PNG generado por ComfyUI."
 output: "dict {ok, prompt, parameters, error}. prompt = workflow API format embebido (dict); parameters = {model, seed, steps, cfg, sampler_name, scheduler, denoise, positive, negative} extraido del KSampler y nodos conectados; error = motivo si ok=False."
-tested: false
+tested: true
-tests: []
+tests: ["extrae prompt embebido + parametros del KSampler (seed/steps/cfg/sampler/scheduler/denoise/positive/negative/model)", "error: archivo inexistente", "error: PNG sin chunk prompt", "error: chunk prompt no es JSON", "error: no es un PNG valido", "determinismo"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_read_png_metadata.py"
 file_path: "python/functions/ml/comfyui_read_png_metadata.py"
 ---
 

python/functions/ml/comfyui_resolve_workflow_deps.md

@@ -20,9 +20,9 @@ params:
   - name: server
     desc: "host:port del servidor ComfyUI sin esquema. Debe estar vivo para consultar /object_info."
 output: "dict {ok, missing_nodes, missing_models, suggestions, error}. ok = se pudo consultar el servidor; missing_nodes = class_type ausentes (nodos custom); missing_models = lista de {node, input, value}; suggestions = lista de {kind, name, action, hint, ...} (una por nodo/modelo faltante) con la funcion a usar; error = motivo si ok=False."
-tested: false
+tested: true
-tests: []
+tests: ["traduce nodos y modelos faltantes en suggestions (install_custom_node / search_and_download)", "sin faltantes -> suggestions vacio", "servidor caido -> ok=False con error propagado"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_resolve_workflow_deps.py"
 file_path: "python/functions/ml/comfyui_resolve_workflow_deps.py"
 ---
 

python/functions/ml/comfyui_score_aesthetic.md

@@ -26,9 +26,9 @@ params:
   - name: timeout
     desc: "Timeout del subproceso en segundos (la primera vez puede descargar CLIP). keyword-only."
 output: "dict {ok, score_0_10, error}. En exito ok=True y score_0_10 es el score continuo (~1-10, mayor = mejor). En error ok=False, score_0_10=0.0 y error describe la causa. Nunca lanza excepcion."
-tested: false
+tested: true
-tests: []
+tests: ["error: imagen inexistente (guard previo al subproceso)", "error: python del venv ComfyUI ausente", "error: .pth del modelo ausente", "nunca lanza excepcion + determinismo del error"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_score_aesthetic.py"
 file_path: "python/functions/ml/comfyui_score_aesthetic.py"
 ---
 

python/functions/ml/comfyui_score_clip_alignment.md

@@ -28,9 +28,9 @@ params:
   - name: timeout
     desc: "Timeout del subproceso en segundos. keyword-only."
 output: "dict {ok, score_0_1, error}. En exito ok=True y score_0_1 es la similitud coseno clamp a [0,1] (mayor = mas fiel al prompt; tipico 0.28-0.35 buen match, 0.10-0.18 distinto). En error ok=False, score_0_1=0.0 y error describe la causa. Nunca lanza excepcion."
-tested: false
+tested: true
-tests: []
+tests: ["error: imagen inexistente", "error: prompt vacio", "error: python del venv ComfyUI ausente", "nunca lanza excepcion + determinismo del error"]
-test_file_path: ""
+test_file_path: "python/functions/ml/tests/test_comfyui_score_clip_alignment.py"
 file_path: "python/functions/ml/comfyui_score_clip_alignment.py"
 ---
 

python/functions/ml/tests/test_comfyui_build_asset_variant_workflow.py

@@ -0,0 +1,86 @@
+"""Tests de estructura/determinismo para comfyui_build_asset_variant_workflow (func pura, img2img)."""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_build_asset_variant_workflow import comfyui_build_asset_variant_workflow
+from _comfyui_wf_assert import assert_api_format, class_types, node_by_ct
+
+
+def _texts(wf):
+    return [n["inputs"].get("text", "") for n in wf.values() if n["class_type"] == "CLIPTextEncode"]
+
+
+def test_estructura_img2img():
+    # img2img: parte de una imagen (LoadImage + VAEEncode), NO de EmptyLatentImage.
+    wf = comfyui_build_asset_variant_workflow("enemy.png", "ice element")
+    assert_api_format(wf)
+    cts = class_types(wf)
+    for ct in ("CheckpointLoaderSimple", "LoadImage", "VAEEncode", "CLIPTextEncode",
+               "KSampler", "VAEDecode", "SaveImage"):
+        assert ct in cts, f"falta nodo {ct}"
+    assert "EmptyLatentImage" not in cts  # img2img no genera desde ruido
+
+
+def test_load_image_y_prompt_reflejados():
+    wf = comfyui_build_asset_variant_workflow("  enemy_creature_00001_.png  ", "fire element")
+    # input_image se strippea y llega al LoadImage.
+    assert node_by_ct(wf, "LoadImage")["inputs"]["image"] == "enemy_creature_00001_.png"
+    # el positivo contiene la variante + el refuerzo de composicion.
+    pos = [t for t in _texts(wf) if "same composition" in t]
+    assert pos and "fire element" in pos[0]
+
+
+def test_size_default_inserta_imagescale():
+    # size=512 por defecto -> normaliza la base con un ImageScale a 512x512.
+    wf = comfyui_build_asset_variant_workflow("enemy.png", "golden tier 2")
+    scale = node_by_ct(wf, "ImageScale")["inputs"]
+    assert scale["width"] == 512 and scale["height"] == 512
+
+
+def test_size_none_sin_imagescale():
+    wf = comfyui_build_asset_variant_workflow("enemy.png", "frozen", size=None)
+    assert "ImageScale" not in class_types(wf)
+
+
+def test_denoise_se_clampa():
+    assert node_by_ct(comfyui_build_asset_variant_workflow("e.png", "v", denoise=2.0),
+                      "KSampler")["inputs"]["denoise"] == 1.0
+    assert node_by_ct(comfyui_build_asset_variant_workflow("e.png", "v", denoise=-1.0),
+                      "KSampler")["inputs"]["denoise"] == 0.0
+    assert node_by_ct(comfyui_build_asset_variant_workflow("e.png", "v", denoise=0.5),
+                      "KSampler")["inputs"]["denoise"] == 0.5
+
+
+def test_filename_prefix_y_seed():
+    wf = comfyui_build_asset_variant_workflow("e.png", "v", seed=123, filename_prefix="mio")
+    assert node_by_ct(wf, "SaveImage")["inputs"]["filename_prefix"] == "mio"
+    assert node_by_ct(wf, "KSampler")["inputs"]["seed"] == 123
+
+
+def test_lora_inyecta_loraloader():
+    sin = comfyui_build_asset_variant_workflow("e.png", "v")
+    con = comfyui_build_asset_variant_workflow("e.png", "v", lora="SD15_dark.safetensors")
+    assert "LoraLoader" not in class_types(sin)
+    assert "LoraLoader" in class_types(con)
+
+
+def test_input_image_vacio_lanza():
+    with pytest.raises(ValueError):
+        comfyui_build_asset_variant_workflow("   ", "v")
+
+
+def test_variant_vacio_lanza():
+    with pytest.raises(ValueError):
+        comfyui_build_asset_variant_workflow("e.png", "")
+
+
+def test_determinista():
+    a = comfyui_build_asset_variant_workflow("e.png", "ice", seed=7, denoise=0.5)
+    b = comfyui_build_asset_variant_workflow("e.png", "ice", seed=7, denoise=0.5)
+    assert a == b

python/functions/ml/tests/test_comfyui_build_directional_sprite_workflow.py

@@ -0,0 +1,83 @@
+"""Tests de estructura/determinismo para comfyui_build_directional_sprite_workflow (func pura, 2.5D)."""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_build_directional_sprite_workflow import (
+    comfyui_build_directional_sprite_workflow,
+    directional_sprite_view_order,
+)
+from _comfyui_wf_assert import assert_api_format, class_types, node_by_ct
+
+
+def test_sv3d_estructura_y_orbit_default():
+    wf = comfyui_build_directional_sprite_workflow("goblin.png", directions=8, model="sv3d")
+    assert_api_format(wf)
+    cts = class_types(wf)
+    for ct in ("LoadImage", "ImageOnlyCheckpointLoader", "SV3D_Conditioning",
+               "VideoLinearCFGGuidance", "KSampler", "VAEDecode", "SaveImage"):
+        assert ct in cts, f"falta nodo {ct}"
+    cond = node_by_ct(wf, "SV3D_Conditioning")["inputs"]
+    # video_frames default = directions; size nativa sv3d = 576.
+    assert cond["video_frames"] == 8
+    assert cond["width"] == 576 and cond["height"] == 576
+
+
+def test_sv3d_orbit_frames_override():
+    wf = comfyui_build_directional_sprite_workflow("g.png", directions=8, orbit_frames=21)
+    assert node_by_ct(wf, "SV3D_Conditioning")["inputs"]["video_frames"] == 21
+
+
+def test_zero123_estructura_y_azimuth():
+    wf = comfyui_build_directional_sprite_workflow("g.png", directions=4, model="zero123")
+    assert_api_format(wf)
+    cts = class_types(wf)
+    assert "StableZero123_Conditioning_Batched" in cts
+    assert "SV3D_Conditioning" not in cts  # camino distinto al sv3d
+    cond = node_by_ct(wf, "StableZero123_Conditioning_Batched")["inputs"]
+    # batch = directions; size nativa zero123 = 256; azimuth equiespaciado 360/N.
+    assert cond["batch_size"] == 4
+    assert cond["width"] == 256 and cond["height"] == 256
+    assert cond["azimuth_batch_increment"] == 90.0
+
+
+def test_cfg_y_ckpt_default_por_modelo():
+    sv3d = comfyui_build_directional_sprite_workflow("g.png", model="sv3d")
+    z123 = comfyui_build_directional_sprite_workflow("g.png", model="zero123")
+    assert node_by_ct(sv3d, "KSampler")["inputs"]["cfg"] == 2.5
+    assert node_by_ct(z123, "KSampler")["inputs"]["cfg"] == 4.0
+    assert node_by_ct(sv3d, "ImageOnlyCheckpointLoader")["inputs"]["ckpt_name"] == "3D_sv3d_p.safetensors"
+    assert node_by_ct(z123, "ImageOnlyCheckpointLoader")["inputs"]["ckpt_name"] == "3D_stable_zero123.ckpt"
+
+
+def test_elevation_y_seed_reflejados():
+    wf = comfyui_build_directional_sprite_workflow("g.png", model="sv3d", elevation=15.0, seed=42)
+    assert node_by_ct(wf, "SV3D_Conditioning")["inputs"]["elevation"] == 15.0
+    assert node_by_ct(wf, "KSampler")["inputs"]["seed"] == 42
+
+
+def test_view_order_helper():
+    assert directional_sprite_view_order(8) == ["S", "SE", "E", "NE", "N", "NW", "W", "SW"]
+    assert directional_sprite_view_order(4) == ["S", "E", "N", "W"]
+    # N no canonico -> etiquetas por azimuth.
+    assert directional_sprite_view_order(6) == ["az0", "az60", "az120", "az180", "az240", "az300"]
+
+
+def test_errores():
+    with pytest.raises(ValueError):
+        comfyui_build_directional_sprite_workflow("")
+    with pytest.raises(ValueError):
+        comfyui_build_directional_sprite_workflow("g.png", model="turbo")
+    with pytest.raises(ValueError):
+        comfyui_build_directional_sprite_workflow("g.png", directions=0)
+
+
+def test_determinista():
+    a = comfyui_build_directional_sprite_workflow("g.png", directions=8, seed=7, elevation=15.0)
+    b = comfyui_build_directional_sprite_workflow("g.png", directions=8, seed=7, elevation=15.0)
+    assert a == b

python/functions/ml/tests/test_comfyui_build_grid.py

@@ -0,0 +1,74 @@
+"""Tests offline para comfyui_build_grid (impura PIL: lee N imagenes -> PNG grid).
+
+Sin red, sin GPU, sin servidor: crea PNGs reales en un tmp_path y monta el grid.
+"""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_build_grid import comfyui_build_grid
+
+PIL = pytest.importorskip("PIL")
+from PIL import Image  # noqa: E402
+
+
+def _png(path, size=(64, 64), color=(120, 30, 30)):
+    Image.new("RGB", size, color).save(path)
+    return str(path)
+
+
+def test_grid_basico(tmp_path):
+    paths = [_png(tmp_path / f"i{i}.png") for i in range(4)]
+    out = tmp_path / "grid.png"
+    res = comfyui_build_grid(paths, out_path=str(out))
+    assert res["ok"] is True
+    assert res["error"] == ""
+    assert os.path.isfile(res["out_path"]) and res["out_path"] == str(out)
+    # 4 imagenes -> ceil(sqrt(4)) = 2 columnas, 2 filas.
+    assert res["cols"] == 2 and res["rows"] == 2
+
+
+def test_cols_explicito_y_filas(tmp_path):
+    paths = [_png(tmp_path / f"i{i}.png") for i in range(5)]
+    res = comfyui_build_grid(paths, cols=5, out_path=str(tmp_path / "g.png"))
+    assert res["cols"] == 5 and res["rows"] == 1
+
+
+def test_cell_define_dimension_del_canvas(tmp_path):
+    paths = [_png(tmp_path / f"i{i}.png") for i in range(2)]
+    res = comfyui_build_grid(paths, cols=2, cell=128, out_path=str(tmp_path / "g.png"))
+    with Image.open(res["out_path"]) as im:
+        # 2 columnas x 128 cell = 256 ancho; 1 fila x 128 = 128 alto.
+        assert im.size == (256, 128)
+
+
+def test_labels_reservan_franja(tmp_path):
+    paths = [_png(tmp_path / f"i{i}.png") for i in range(2)]
+    res = comfyui_build_grid(paths, cols=2, cell=64, labels=["a", "b"],
+                             out_path=str(tmp_path / "g.png"))
+    with Image.open(res["out_path"]) as im:
+        # con labels se reservan 22px bajo cada celda: alto = 64 + 22.
+        assert im.size == (128, 86)
+
+
+def test_error_lista_vacia():
+    res = comfyui_build_grid([])
+    assert res["ok"] is False and "vacio" in res["error"]
+
+
+def test_error_ruta_inexistente(tmp_path):
+    res = comfyui_build_grid([str(tmp_path / "no_existe.png")])
+    assert res["ok"] is False and "no existen" in res["error"]
+
+
+def test_determinista_mismo_dict(tmp_path):
+    paths = [_png(tmp_path / f"i{i}.png") for i in range(3)]
+    a = comfyui_build_grid(paths, out_path=str(tmp_path / "a.png"))
+    b = comfyui_build_grid(paths, out_path=str(tmp_path / "b.png"))
+    # rows/cols/ok son determableinistas para las mismas entradas.
+    assert (a["ok"], a["rows"], a["cols"]) == (b["ok"], b["rows"], b["cols"])

python/functions/ml/tests/test_comfyui_build_inpaint_asset_workflow.py

@@ -0,0 +1,78 @@
+"""Tests de estructura/determinismo para comfyui_build_inpaint_asset_workflow (func pura, inpaint)."""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_build_inpaint_asset_workflow import comfyui_build_inpaint_asset_workflow
+from _comfyui_wf_assert import assert_api_format, class_types, node_by_ct
+
+
+def _texts(wf):
+    return [n["inputs"].get("text", "") for n in wf.values() if n["class_type"] == "CLIPTextEncode"]
+
+
+def test_estructura_vae_encode():
+    wf = comfyui_build_inpaint_asset_workflow("asset.png", "mask.png", "a golden sword")
+    assert_api_format(wf)
+    cts = class_types(wf)
+    for ct in ("CheckpointLoaderSimple", "LoadImage", "LoadImageMask",
+               "VAEEncodeForInpaint", "CLIPTextEncode", "KSampler", "VAEDecode", "SaveImage"):
+        assert ct in cts, f"falta nodo {ct}"
+
+
+def test_prompt_region_y_grow_mask():
+    wf = comfyui_build_inpaint_asset_workflow("a.png", "m.png", "blue shield", grow_mask=8)
+    pos = [t for t in _texts(wf) if "seamless blend" in t]
+    assert pos and "blue shield" in pos[0]
+    assert node_by_ct(wf, "VAEEncodeForInpaint")["inputs"]["grow_mask_by"] == 8
+
+
+def test_grow_mask_se_clampa():
+    wf = comfyui_build_inpaint_asset_workflow("a.png", "m.png", "p", grow_mask=999)
+    assert node_by_ct(wf, "VAEEncodeForInpaint")["inputs"]["grow_mask_by"] == 64
+
+
+def test_modo_noise_mask_degrada():
+    # noise_mask reemplaza VAEEncodeForInpaint por VAEEncode + SetLatentNoiseMask (+ GrowMask).
+    wf = comfyui_build_inpaint_asset_workflow("a.png", "m.png", "p", mode="noise_mask", grow_mask=6)
+    cts = class_types(wf)
+    assert "VAEEncodeForInpaint" not in cts
+    assert "VAEEncode" in cts and "SetLatentNoiseMask" in cts and "GrowMask" in cts
+
+
+def test_size_inserta_imagescale_a_imagen_y_mascara():
+    # size en modo vae_encode escala imagen Y mascara de forma consistente.
+    wf = comfyui_build_inpaint_asset_workflow("a.png", "m.png", "p", size=768)
+    scales = [n for n in wf.values() if n["class_type"] == "ImageScale"]
+    assert len(scales) == 2  # una para la imagen, otra para la mascara
+    assert all(s["inputs"]["width"] == 768 and s["inputs"]["height"] == 768 for s in scales)
+    assert "ImageToMask" in class_types(wf)
+
+
+def test_lora_y_filename():
+    wf = comfyui_build_inpaint_asset_workflow("a.png", "m.png", "p", lora="x.safetensors",
+                                              filename_prefix="mio")
+    assert "LoraLoader" in class_types(wf)
+    assert node_by_ct(wf, "SaveImage")["inputs"]["filename_prefix"] == "mio"
+
+
+def test_errores():
+    with pytest.raises(ValueError):
+        comfyui_build_inpaint_asset_workflow("", "m.png", "p")
+    with pytest.raises(ValueError):
+        comfyui_build_inpaint_asset_workflow("a.png", "", "p")
+    with pytest.raises(ValueError):
+        comfyui_build_inpaint_asset_workflow("a.png", "m.png", "")
+    with pytest.raises(ValueError):
+        comfyui_build_inpaint_asset_workflow("a.png", "m.png", "p", mode="otro")
+
+
+def test_determinista():
+    a = comfyui_build_inpaint_asset_workflow("a.png", "m.png", "orb", seed=7, grow_mask=6)
+    b = comfyui_build_inpaint_asset_workflow("a.png", "m.png", "orb", seed=7, grow_mask=6)
+    assert a == b

python/functions/ml/tests/test_comfyui_build_outpaint_asset_workflow.py

@@ -0,0 +1,73 @@
+"""Tests de estructura/determinismo para comfyui_build_outpaint_asset_workflow (func pura, outpaint)."""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_build_outpaint_asset_workflow import comfyui_build_outpaint_asset_workflow
+from _comfyui_wf_assert import assert_api_format, class_types, node_by_ct
+
+
+def test_estructura_outpaint():
+    wf = comfyui_build_outpaint_asset_workflow("bg.png", "more forest", right=256)
+    assert_api_format(wf)
+    cts = class_types(wf)
+    for ct in ("CheckpointLoaderSimple", "LoadImage", "ImagePadForOutpaint",
+               "VAEEncodeForInpaint", "CLIPTextEncode", "KSampler", "VAEDecode", "SaveImage"):
+        assert ct in cts, f"falta nodo {ct}"
+    # outpaint genera su mascara con el pad: NO usa LoadImageMask.
+    assert "LoadImageMask" not in cts
+
+
+def test_pad_cableado_a_vaeencode():
+    # VAEEncodeForInpaint toma pixels de la IMAGE del pad y mask de la MASK del pad.
+    wf = comfyui_build_outpaint_asset_workflow("bg.png", "sky", top=128)
+    pad_id = next(nid for nid, n in wf.items() if n["class_type"] == "ImagePadForOutpaint")
+    enc = node_by_ct(wf, "VAEEncodeForInpaint")["inputs"]
+    assert enc["pixels"] == [pad_id, 0]
+    assert enc["mask"] == [pad_id, 1]
+
+
+def test_extensiones_redondeadas_a_8():
+    # _round8 normaliza al multiplo de 8 mas cercano.
+    wf = comfyui_build_outpaint_asset_workflow("bg.png", "p", right=10)
+    pad = node_by_ct(wf, "ImagePadForOutpaint")["inputs"]
+    assert pad["right"] == 8 and pad["left"] == 0 and pad["top"] == 0 and pad["bottom"] == 0
+
+
+def test_sin_extension_lanza():
+    # las cuatro extensiones a 0 (tras redondear) -> no hay nada que extender.
+    with pytest.raises(ValueError):
+        comfyui_build_outpaint_asset_workflow("bg.png", "p", left=3, right=2)
+
+
+def test_feather_y_prompt():
+    wf = comfyui_build_outpaint_asset_workflow("bg.png", "open sky", top=64, feather=30)
+    assert node_by_ct(wf, "ImagePadForOutpaint")["inputs"]["feathering"] == 30
+    pos = [n["inputs"]["text"] for n in wf.values()
+           if n["class_type"] == "CLIPTextEncode" and "seamless extension" in n["inputs"].get("text", "")]
+    assert pos and "open sky" in pos[0]
+
+
+def test_lora_y_filename():
+    wf = comfyui_build_outpaint_asset_workflow("bg.png", "p", right=64, lora="x.safetensors",
+                                               filename_prefix="mio")
+    assert "LoraLoader" in class_types(wf)
+    assert node_by_ct(wf, "SaveImage")["inputs"]["filename_prefix"] == "mio"
+
+
+def test_errores_vacios():
+    with pytest.raises(ValueError):
+        comfyui_build_outpaint_asset_workflow("", "p", right=64)
+    with pytest.raises(ValueError):
+        comfyui_build_outpaint_asset_workflow("bg.png", "", right=64)
+
+
+def test_determinista():
+    a = comfyui_build_outpaint_asset_workflow("bg.png", "forest", right=256, seed=7)
+    b = comfyui_build_outpaint_asset_workflow("bg.png", "forest", right=256, seed=7)
+    assert a == b

python/functions/ml/tests/test_comfyui_build_sprite_from_sketch_workflow.py

@@ -0,0 +1,80 @@
+"""Tests de estructura/determinismo para comfyui_build_sprite_from_sketch_workflow (func pura, ControlNet)."""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_build_sprite_from_sketch_workflow import comfyui_build_sprite_from_sketch_workflow
+from _comfyui_wf_assert import assert_api_format, class_types, node_by_ct
+
+
+def test_estructura_txt2img_mas_controlnet():
+    # txt2img (EmptyLatentImage, denoise alto) guiado por ControlNet atado al boceto.
+    wf = comfyui_build_sprite_from_sketch_workflow("sketch.png", "armored knight")
+    assert_api_format(wf)
+    cts = class_types(wf)
+    for ct in ("CheckpointLoaderSimple", "EmptyLatentImage", "CLIPTextEncode", "KSampler",
+               "VAEDecode", "SaveImage", "LoadImage", "ControlNetLoader", "ControlNetApply"):
+        assert ct in cts, f"falta nodo {ct}"
+
+
+def test_lineart_default_preprocesador_y_modelo():
+    wf = comfyui_build_sprite_from_sketch_workflow("s.png", "knight", control_type="lineart")
+    assert "LineArtPreprocessor" in class_types(wf)
+    assert node_by_ct(wf, "ControlNetLoader")["inputs"]["control_net_name"] == \
+        "control_v11p_sd15_lineart_fp16.safetensors"
+    # el ControlNetApply consume el mapa de lineas del preprocesador, no el LoadImage directo.
+    pre_id = next(nid for nid, n in wf.items() if n["class_type"].endswith("Preprocessor"))
+    assert node_by_ct(wf, "ControlNetApply")["inputs"]["image"] == [pre_id, 0]
+
+
+def test_canny_preprocesador_y_modelo():
+    wf = comfyui_build_sprite_from_sketch_workflow("s.png", "chest", control_type="canny")
+    assert "CannyEdgePreprocessor" in class_types(wf)
+    assert node_by_ct(wf, "ControlNetLoader")["inputs"]["control_net_name"] == \
+        "control_v11p_sd15_canny_fp16.safetensors"
+
+
+def test_preprocess_false_pasa_boceto_directo():
+    wf = comfyui_build_sprite_from_sketch_workflow("s.png", "k", preprocess=False)
+    assert not any(n["class_type"].endswith("Preprocessor") for n in wf.values())
+    load_id = next(nid for nid, n in wf.items() if n["class_type"] == "LoadImage")
+    assert node_by_ct(wf, "ControlNetApply")["inputs"]["image"] == [load_id, 0]
+
+
+def test_controlnet_name_override_y_strength():
+    wf = comfyui_build_sprite_from_sketch_workflow(
+        "s.png", "k", control_type="lineart",
+        controlnet_name="control_v11p_sd15_canny_fp16.safetensors", strength=0.65)
+    assert node_by_ct(wf, "ControlNetLoader")["inputs"]["control_net_name"] == \
+        "control_v11p_sd15_canny_fp16.safetensors"
+    assert node_by_ct(wf, "ControlNetApply")["inputs"]["strength"] == 0.65
+
+
+def test_strength_se_clampa():
+    wf = comfyui_build_sprite_from_sketch_workflow("s.png", "k", strength=5.0)
+    assert node_by_ct(wf, "ControlNetApply")["inputs"]["strength"] == 2.0
+
+
+def test_lora_inyecta():
+    assert "LoraLoader" in class_types(
+        comfyui_build_sprite_from_sketch_workflow("s.png", "k", lora="x.safetensors"))
+
+
+def test_errores():
+    with pytest.raises(ValueError):
+        comfyui_build_sprite_from_sketch_workflow("", "k")
+    with pytest.raises(ValueError):
+        comfyui_build_sprite_from_sketch_workflow("s.png", "")
+    with pytest.raises(ValueError):
+        comfyui_build_sprite_from_sketch_workflow("s.png", "k", control_type="depth")
+
+
+def test_determinista():
+    a = comfyui_build_sprite_from_sketch_workflow("s.png", "knight", seed=7, strength=0.8)
+    b = comfyui_build_sprite_from_sketch_workflow("s.png", "knight", seed=7, strength=0.8)
+    assert a == b

python/functions/ml/tests/test_comfyui_critique_image_llm.py

@@ -0,0 +1,62 @@
+"""Tests offline para comfyui_critique_image_llm (impura: critica LLM-vision via ask_llm_vision).
+
+Sin red, sin API: prueba el parser de JSON puro (_extract_json) y el flujo con ask_llm_vision
+monkeypatcheado (veredicto estructurado, ambiguo->bad conservador, API caida, texto no parseable).
+"""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+import ml.comfyui_critique_image_llm as mod
+from ml.comfyui_critique_image_llm import comfyui_critique_image_llm, _extract_json
+
+
+def test_extract_json_fenced():
+    txt = 'blah\n```json\n{"verdict": "good", "score": 8}\n```\nfin'
+    assert _extract_json(txt) == {"verdict": "good", "score": 8}
+
+
+def test_extract_json_brace_plano():
+    assert _extract_json('  {"verdict": "bad", "score": 2}  ') == {"verdict": "bad", "score": 2}
+
+
+def test_extract_json_sin_objeto_lanza():
+    with pytest.raises(ValueError):
+        _extract_json("no hay json aqui")
+
+
+def _fake_vision(text, ok=True):
+    return lambda user_prompt, image_path, **kw: {"ok": ok, "text": text, "error": "" if ok else "429"}
+
+
+def test_flujo_veredicto_estructurado(monkeypatch):
+    monkeypatch.setattr(mod, "ask_llm_vision",
+                        _fake_vision('{"verdict": "good", "score": 8.5, "reasons": ["nitida"]}'))
+    res = comfyui_critique_image_llm("i.png", "a cat")
+    assert res["ok"] is True
+    assert res["verdict"] == "good" and res["score_0_10"] == 8.5
+    assert res["reasons"] == ["nitida"]
+
+
+def test_verdict_ambiguo_cae_a_bad(monkeypatch):
+    monkeypatch.setattr(mod, "ask_llm_vision",
+                        _fake_vision('{"verdict": "maybe", "score": 5}'))
+    res = comfyui_critique_image_llm("i.png", "p")
+    assert res["ok"] is True and res["verdict"] == "bad"  # conservador ante ambiguo
+
+
+def test_api_caida_ok_false(monkeypatch):
+    monkeypatch.setattr(mod, "ask_llm_vision", _fake_vision("", ok=False))
+    res = comfyui_critique_image_llm("i.png", "p")
+    assert res["ok"] is False and res["error"]
+
+
+def test_respuesta_no_parseable_ok_false(monkeypatch):
+    monkeypatch.setattr(mod, "ask_llm_vision", _fake_vision("lo siento, no puedo"))
+    res = comfyui_critique_image_llm("i.png", "p")
+    assert res["ok"] is False and "no parseable" in res["error"]

python/functions/ml/tests/test_comfyui_extract_recipe_from_png.py

@@ -0,0 +1,86 @@
+"""Tests offline para comfyui_extract_recipe_from_png (impura: destila PNG -> receta de skill).
+
+Sin red, sin servidor: prueba los helpers puros de extraccion y el flujo de degradacion a la
+`meta` de Civitai cuando el PNG no trae workflow embebido (PNG inexistente -> sin workflow).
+"""
+
+import os
+import sys
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_extract_recipe_from_png import (
+    comfyui_extract_recipe_from_png,
+    _slugify,
+    _loras_from_prompt,
+    _dims_from_prompt,
+    _checkpoint_from_prompt,
+    _detect_base_workflow,
+    _from_civitai_meta,
+)
+
+
+def test_slugify():
+    assert _slugify("A Red Apple!", "fb") == "a_red_apple"
+    assert _slugify("", "fallback") == "fallback"
+    # acota a 6 tokens.
+    assert _slugify("one two three four five six seven eight", "fb").count("_") == 5
+
+
+def test_loras_from_prompt():
+    prompt = {"7": {"class_type": "LoraLoader",
+                    "inputs": {"lora_name": "style.safetensors",
+                               "strength_model": 0.8, "strength_clip": 0.7}}}
+    loras = _loras_from_prompt(prompt)
+    assert loras == [{"name": "style.safetensors", "strength_model": 0.8, "strength_clip": 0.7}]
+    assert _loras_from_prompt({}) == []
+
+
+def test_dims_y_checkpoint_from_prompt():
+    prompt = {
+        "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "dream.safetensors"}},
+        "5": {"class_type": "EmptyLatentImage", "inputs": {"width": 832, "height": 1216}},
+    }
+    assert _dims_from_prompt(prompt) == {"width": 832, "height": 1216}
+    assert _checkpoint_from_prompt(prompt) == "dream.safetensors"
+
+
+def test_detect_base_workflow():
+    assert _detect_base_workflow({"1": {"class_type": "UNETLoader", "inputs": {}}}) == "flux"
+    assert _detect_base_workflow({"1": {"class_type": "CheckpointLoaderSimple", "inputs": {}}}) == "txt2img"
+
+
+def test_from_civitai_meta():
+    meta = {"steps": 25, "sampler": "Euler a", "Size": "832x1216", "seed": 7,
+            "cfgScale": 6.5, "Model": "mymodel", "prompt": "a cat", "negativePrompt": "blurry"}
+    out = _from_civitai_meta(meta)
+    assert out["checkpoint"] == "mymodel"
+    assert out["positive"] == "a cat" and out["negative"] == "blurry"
+    assert out["params"]["steps"] == 25 and out["params"]["cfg"] == 6.5
+    assert out["params"]["width"] == 832 and out["params"]["height"] == 1216
+
+
+def test_flujo_fallback_civitai_meta(tmp_path):
+    # PNG inexistente -> sin workflow embebido; cae a la meta de Civitai (utilizable).
+    res = comfyui_extract_recipe_from_png(
+        str(tmp_path / "no.png"),
+        civitai_meta={"prompt": "a knight", "Model": "dream.safetensors", "steps": 20})
+    assert res["ok"] is True
+    assert res["has_workflow"] is False
+    recipe = res["recipe"]
+    assert recipe["checkpoint"] == "dream.safetensors"
+    assert recipe["prompt_scaffold"]["positive"] == "a knight"
+    assert recipe["provenance"]["source"] == "civitai" and recipe["score_n"] == 0
+
+
+def test_slug_derivado_del_prompt(tmp_path):
+    res = comfyui_extract_recipe_from_png(
+        str(tmp_path / "no.png"), civitai_meta={"prompt": "Fire Goblin Warrior"})
+    assert res["ok"] is True and res["slug"] == "fire_goblin_warrior"
+
+
+def test_error_sin_workflow_ni_meta(tmp_path):
+    res = comfyui_extract_recipe_from_png(str(tmp_path / "no.png"))
+    assert res["ok"] is False and res["recipe"] == {}
+    assert "no trae workflow" in res["error"]

python/functions/ml/tests/test_comfyui_flatten_alpha_on_color.py

@@ -0,0 +1,68 @@
+"""Tests offline para comfyui_flatten_alpha_on_color (impura PIL: aplana RGBA sobre fondo solido).
+
+Sin red, sin GPU, sin servidor: crea un PNG RGBA real y verifica el RGB resultante.
+"""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_flatten_alpha_on_color import comfyui_flatten_alpha_on_color
+
+PIL = pytest.importorskip("PIL")
+from PIL import Image  # noqa: E402
+
+
+def _rgba(path, size=(32, 32), color=(0, 0, 0, 0)):
+    Image.new("RGBA", size, color).save(path)
+    return str(path)
+
+
+def test_aplana_transparente_sobre_blanco(tmp_path):
+    src = _rgba(tmp_path / "sprite.png", color=(0, 0, 0, 0))  # totalmente transparente
+    out = tmp_path / "flat.png"
+    res = comfyui_flatten_alpha_on_color(src, out_path=str(out), color=(255, 255, 255))
+    assert res["ok"] is True and res["error"] == ""
+    with Image.open(res["out_path"]) as im:
+        assert im.mode == "RGB"  # sin alpha
+        # sobre alpha 0 queda el fondo solido: blanco.
+        assert im.getpixel((0, 0)) == (255, 255, 255)
+
+
+def test_color_de_fondo_personalizado(tmp_path):
+    src = _rgba(tmp_path / "s.png", color=(0, 0, 0, 0))
+    res = comfyui_flatten_alpha_on_color(src, out_path=str(tmp_path / "o.png"), color=(10, 20, 30))
+    with Image.open(res["out_path"]) as im:
+        assert im.getpixel((0, 0)) == (10, 20, 30)
+
+
+def test_size_redimensiona_cuadrado(tmp_path):
+    src = _rgba(tmp_path / "s.png", size=(32, 16))
+    res = comfyui_flatten_alpha_on_color(src, out_path=str(tmp_path / "o.png"), size=64)
+    assert res["size"] == [64, 64]
+    with Image.open(res["out_path"]) as im:
+        assert im.size == (64, 64)
+
+
+def test_out_path_default_sufijo_flat(tmp_path):
+    src = _rgba(tmp_path / "sprite.png")
+    res = comfyui_flatten_alpha_on_color(src)  # out_path None -> <base>_flat.png
+    assert res["ok"] is True
+    assert res["out_path"].endswith("sprite_flat.png")
+
+
+def test_error_imagen_inexistente(tmp_path):
+    res = comfyui_flatten_alpha_on_color(str(tmp_path / "no.png"))
+    assert res["ok"] is False and "no existe" in res["error"]
+
+
+def test_determinista(tmp_path):
+    src = _rgba(tmp_path / "s.png", color=(5, 5, 5, 128))
+    a = comfyui_flatten_alpha_on_color(src, out_path=str(tmp_path / "a.png"), color=(200, 0, 0))
+    b = comfyui_flatten_alpha_on_color(src, out_path=str(tmp_path / "b.png"), color=(200, 0, 0))
+    with Image.open(a["out_path"]) as ia, Image.open(b["out_path"]) as ib:
+        assert ia.tobytes() == ib.tobytes()

python/functions/ml/tests/test_comfyui_import_workflow_json.py

@@ -0,0 +1,88 @@
+"""Tests offline para comfyui_import_workflow_json (impura: lee disco/URL + normaliza a API format).
+
+Sin red, sin servidor: lee workflows desde archivos locales. Para el caso UI graph monkeypatchea
+comfyui_object_info (devuelve None) para no consultar el servidor; se valida la resolucion de
+conexiones y el descarte de nodos virtuales (Note).
+"""
+
+import json
+import os
+import sys
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+import ml.comfyui_import_workflow_json as mod
+from ml.comfyui_import_workflow_json import comfyui_import_workflow_json
+from _comfyui_wf_assert import assert_api_format, class_types
+
+
+_API = {
+    "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "m.safetensors"}},
+    "2": {"class_type": "VAEDecode", "inputs": {"samples": ["1", 0], "vae": ["1", 2]}},
+}
+
+_UI_GRAPH = {
+    "nodes": [
+        {"id": 1, "type": "CheckpointLoaderSimple", "inputs": [], "widgets_values": ["m.safetensors"]},
+        {"id": 2, "type": "Note", "inputs": []},
+        {"id": 3, "type": "VAEDecode",
+         "inputs": [{"name": "samples", "link": 10}, {"name": "vae", "link": 11}]},
+    ],
+    "links": [
+        [10, 1, 0, 3, 0, "LATENT"],
+        [11, 1, 2, 3, 1, "VAE"],
+    ],
+}
+
+
+def _write(tmp_path, name, obj):
+    p = tmp_path / name
+    p.write_text(json.dumps(obj))
+    return str(p)
+
+
+def test_api_format_se_devuelve_tal_cual(tmp_path):
+    res = comfyui_import_workflow_json(_write(tmp_path, "api.json", _API))
+    assert res["ok"] is True and res["format_detected"] == "api"
+    assert res["workflow"] == _API
+
+
+def test_ui_graph_se_normaliza(tmp_path, monkeypatch):
+    monkeypatch.setattr(mod, "comfyui_object_info", lambda server="", timeout=5.0: None)
+    res = comfyui_import_workflow_json(_write(tmp_path, "ui.json", _UI_GRAPH))
+    assert res["ok"] is True and res["format_detected"] == "ui_graph"
+    api = res["workflow"]
+    assert_api_format(api)
+    # el nodo virtual Note se descarta; las conexiones del VAEDecode se resuelven al CheckpointLoader.
+    assert "Note" not in class_types(api)
+    assert "2" not in api
+    assert api["3"]["inputs"]["samples"] == ["1", 0]
+    assert api["3"]["inputs"]["vae"] == ["1", 2]
+
+
+def test_json_invalido_error(tmp_path):
+    p = tmp_path / "bad.json"
+    p.write_text("no soy json {")
+    res = comfyui_import_workflow_json(str(p))
+    assert res["ok"] is False and "JSON invalido" in res["error"]
+
+
+def test_formato_no_reconocido(tmp_path):
+    res = comfyui_import_workflow_json(_write(tmp_path, "x.json", {"foo": "bar"}))
+    assert res["ok"] is False and "no reconocido" in res["error"]
+
+
+def test_json_no_es_objeto(tmp_path):
+    res = comfyui_import_workflow_json(_write(tmp_path, "lst.json", [1, 2, 3]))
+    assert res["ok"] is False and "no es un objeto de workflow" in res["error"]
+
+
+def test_archivo_inexistente(tmp_path):
+    res = comfyui_import_workflow_json(str(tmp_path / "no.json"))
+    assert res["ok"] is False and "no se pudo leer" in res["error"]
+
+
+def test_determinista(tmp_path):
+    path = _write(tmp_path, "api.json", _API)
+    assert comfyui_import_workflow_json(path) == comfyui_import_workflow_json(path)

python/functions/ml/tests/test_comfyui_judge_image.py

@@ -0,0 +1,82 @@
+"""Tests offline para comfyui_judge_image (impura: panel multi-juez por mayoria).
+
+Sin GPU, sin red, sin servidor: monkeypatchea los tres jueces (estetico, fidelidad CLIP,
+critico LLM) con stubs para probar la LOGICA de voto, agregacion y exclusion de jueces caidos.
+"""
+
+import os
+import sys
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+import ml.comfyui_judge_image as mod
+from ml.comfyui_judge_image import comfyui_judge_image
+
+
+def _aes(score, ok=True):
+    return lambda image_path, **kw: {"ok": ok, "score_0_10": score, "error": "" if ok else "boom"}
+
+
+def _clip(score, ok=True):
+    return lambda image_path, prompt, **kw: {"ok": ok, "score_0_1": score, "error": "" if ok else "boom"}
+
+
+def _llm(verdict, score=7.0, ok=True):
+    return lambda image_path, prompt, **kw: {
+        "ok": ok, "verdict": verdict, "score_0_10": score,
+        "reasons": ["motivo"], "error": "" if ok else "boom"}
+
+
+def _patch(monkeypatch, aes, clip, llm):
+    monkeypatch.setattr(mod, "comfyui_score_aesthetic", aes)
+    monkeypatch.setattr(mod, "comfyui_score_clip_alignment", clip)
+    monkeypatch.setattr(mod, "comfyui_critique_image_llm", llm)
+
+
+def test_tres_good_verdict_good(monkeypatch):
+    _patch(monkeypatch, _aes(8.0), _clip(0.30), _llm("good"))
+    res = comfyui_judge_image("i.png", "a cat")
+    assert res["ok"] is True and res["verdict"] == "good"
+    assert res["votes"] == {"aesthetic": "good", "clip": "good", "llm": "good"}
+    # score = media de 8, 3.0(=0.30*10), 7 = 6.0
+    assert abs(res["score"] - 6.0) < 1e-9
+
+
+def test_mayoria_bad(monkeypatch):
+    # estetico bajo (bad) + clip bajo (bad) + llm good -> 2 bad, 1 good -> bad.
+    _patch(monkeypatch, _aes(2.0), _clip(0.05), _llm("good"))
+    res = comfyui_judge_image("i.png", "p")
+    assert res["verdict"] == "bad"
+
+
+def test_empate_es_bad_conservador(monkeypatch):
+    # 1 good (estetico) + 1 bad (clip) + 1 failed (llm) -> empate -> bad.
+    _patch(monkeypatch, _aes(8.0), _clip(0.05), _llm("good", ok=False))
+    res = comfyui_judge_image("i.png", "p")
+    assert res["votes"]["llm"] == "failed"
+    assert res["verdict"] == "bad"
+
+
+def test_juez_caido_se_excluye_no_crashea(monkeypatch):
+    # estetico falla pero el panel sigue votando con los otros dos.
+    _patch(monkeypatch, _aes(0.0, ok=False), _clip(0.30), _llm("good"))
+    res = comfyui_judge_image("i.png", "p")
+    assert res["ok"] is True
+    assert res["votes"]["aesthetic"] == "failed"
+    assert res["verdict"] == "good"
+
+
+def test_tres_fallan_ok_false(monkeypatch):
+    _patch(monkeypatch, _aes(0.0, ok=False), _clip(0.0, ok=False), _llm("", ok=False))
+    res = comfyui_judge_image("i.png", "p")
+    assert res["ok"] is False and "los tres jueces fallaron" in res["error"]
+
+
+def test_weights_afectan_score_no_voto(monkeypatch):
+    _patch(monkeypatch, _aes(10.0), _clip(0.30), _llm("good", score=0.0))
+    base = comfyui_judge_image("i.png", "p")
+    # subir el peso del estetico (10) y anular el del llm (0) sube el score agregado.
+    weighted = comfyui_judge_image("i.png", "p", weights={"aesthetic": 5.0, "llm": 0.0})
+    assert weighted["score"] > base["score"]
+    assert weighted["verdict"] == base["verdict"] == "good"

python/functions/ml/tests/test_comfyui_read_png_metadata.py

@@ -0,0 +1,80 @@
+"""Tests offline para comfyui_read_png_metadata (impura stdlib: parsea metadata de un PNG ComfyUI).
+
+Sin red, sin GPU, sin servidor: fabrica PNGs con chunk de texto 'prompt' y verifica el parsing.
+"""
+
+import json
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_read_png_metadata import comfyui_read_png_metadata
+
+PIL = pytest.importorskip("PIL")
+from PIL import Image  # noqa: E402
+from PIL.PngImagePlugin import PngInfo  # noqa: E402
+
+
+_PROMPT = {
+    "1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "model.safetensors"}},
+    "2": {"class_type": "CLIPTextEncode", "inputs": {"text": "a cat on a table"}},
+    "3": {"class_type": "CLIPTextEncode", "inputs": {"text": "blurry, lowres"}},
+    "4": {"class_type": "KSampler", "inputs": {
+        "seed": 42, "steps": 20, "cfg": 7.0, "sampler_name": "euler",
+        "scheduler": "normal", "denoise": 1.0,
+        "positive": ["2", 0], "negative": ["3", 0], "model": ["1", 0], "latent_image": ["5", 0]}},
+}
+
+
+def _png_with_prompt(path, prompt_obj=_PROMPT, text=None):
+    info = PngInfo()
+    info.add_text("prompt", text if text is not None else json.dumps(prompt_obj))
+    Image.new("RGB", (8, 8), (0, 0, 0)).save(path, pnginfo=info)
+    return str(path)
+
+
+def _png_plain(path):
+    Image.new("RGB", (8, 8), (0, 0, 0)).save(path)
+    return str(path)
+
+
+def test_extrae_prompt_y_parametros(tmp_path):
+    res = comfyui_read_png_metadata(_png_with_prompt(tmp_path / "g.png"))
+    assert res["ok"] is True and res["error"] == ""
+    assert res["prompt"] == _PROMPT
+    p = res["parameters"]
+    assert p["seed"] == 42 and p["steps"] == 20 and p["cfg"] == 7.0
+    assert p["sampler_name"] == "euler" and p["scheduler"] == "normal" and p["denoise"] == 1.0
+    assert p["positive"] == "a cat on a table" and p["negative"] == "blurry, lowres"
+    assert p["model"] == "model.safetensors"
+
+
+def test_error_archivo_inexistente(tmp_path):
+    res = comfyui_read_png_metadata(str(tmp_path / "no.png"))
+    assert res["ok"] is False and "no se pudo leer" in res["error"]
+
+
+def test_error_png_sin_chunk_prompt(tmp_path):
+    res = comfyui_read_png_metadata(_png_plain(tmp_path / "plain.png"))
+    assert res["ok"] is False and "no contiene chunk 'prompt'" in res["error"]
+
+
+def test_error_prompt_no_json(tmp_path):
+    res = comfyui_read_png_metadata(_png_with_prompt(tmp_path / "bad.png", text="no soy json {"))
+    assert res["ok"] is False and "no es JSON valido" in res["error"]
+
+
+def test_error_no_es_png(tmp_path):
+    bad = tmp_path / "fake.png"
+    bad.write_bytes(b"esto no es un PNG")
+    res = comfyui_read_png_metadata(str(bad))
+    assert res["ok"] is False and res["error"]
+
+
+def test_determinista(tmp_path):
+    path = _png_with_prompt(tmp_path / "g.png")
+    assert comfyui_read_png_metadata(path) == comfyui_read_png_metadata(path)

python/functions/ml/tests/test_comfyui_resolve_workflow_deps.py

@@ -0,0 +1,49 @@
+"""Tests offline para comfyui_resolve_workflow_deps (impura: compone comfyui_validate_workflow).
+
+Sin red, sin servidor: monkeypatchea comfyui_validate_workflow para probar la traduccion de
+nodos/modelos faltantes en sugerencias accionables y el error path cuando el servidor no responde.
+"""
+
+import os
+import sys
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+import ml.comfyui_resolve_workflow_deps as mod
+from ml.comfyui_resolve_workflow_deps import comfyui_resolve_workflow_deps
+
+_WF = {"1": {"class_type": "CheckpointLoaderSimple", "inputs": {"ckpt_name": "x.safetensors"}}}
+
+
+def test_traduce_nodos_y_modelos_faltantes(monkeypatch):
+    monkeypatch.setattr(mod, "comfyui_validate_workflow", lambda wf, server="": {
+        "ok": True,
+        "missing_nodes": ["FooNode"],
+        "missing_models": [{"node": "1", "input": "ckpt_name", "value": "x.safetensors"}],
+    })
+    res = comfyui_resolve_workflow_deps(_WF)
+    assert res["ok"] is True and res["error"] == ""
+    assert res["missing_nodes"] == ["FooNode"]
+    kinds = {s["kind"] for s in res["suggestions"]}
+    assert kinds == {"node", "model"}
+    node_sug = next(s for s in res["suggestions"] if s["kind"] == "node")
+    assert node_sug["action"] == "install_custom_node" and node_sug["name"] == "FooNode"
+    model_sug = next(s for s in res["suggestions"] if s["kind"] == "model")
+    assert model_sug["action"] == "search_and_download" and model_sug["name"] == "x.safetensors"
+
+
+def test_sin_faltantes_suggestions_vacio(monkeypatch):
+    monkeypatch.setattr(mod, "comfyui_validate_workflow", lambda wf, server="": {
+        "ok": True, "missing_nodes": [], "missing_models": []})
+    res = comfyui_resolve_workflow_deps(_WF)
+    assert res["ok"] is True and res["suggestions"] == []
+
+
+def test_servidor_caido_propaga_error(monkeypatch):
+    monkeypatch.setattr(mod, "comfyui_validate_workflow", lambda wf, server="": {
+        "ok": False, "error": "no se pudo conectar al servidor"})
+    res = comfyui_resolve_workflow_deps(_WF)
+    assert res["ok"] is False
+    assert "no se pudo conectar" in res["error"]
+    assert res["suggestions"] == []

python/functions/ml/tests/test_comfyui_score_aesthetic.py

@@ -0,0 +1,51 @@
+"""Tests offline para comfyui_score_aesthetic (impura: scoring LAION-V2 via subproceso torch).
+
+Sin GPU, sin torch, sin servidor: ejercita SOLO los guards previos al subproceso (imagen,
+python del venv ComfyUI y .pth del modelo ausentes), que cortan antes de tocar la GPU.
+"""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_score_aesthetic import comfyui_score_aesthetic
+
+PIL = pytest.importorskip("PIL")
+from PIL import Image  # noqa: E402
+
+
+def _png(path):
+    Image.new("RGB", (8, 8), (0, 0, 0)).save(path)
+    return str(path)
+
+
+def test_error_imagen_inexistente(tmp_path):
+    res = comfyui_score_aesthetic(str(tmp_path / "no.png"))
+    assert res["ok"] is False and res["score_0_10"] == 0.0
+    assert "imagen no encontrada" in res["error"]
+
+
+def test_error_venv_python_inexistente(tmp_path):
+    # imagen valida pero venv_python ausente -> corta antes del subproceso.
+    res = comfyui_score_aesthetic(_png(tmp_path / "i.png"),
+                                  venv_python=str(tmp_path / "no_python"))
+    assert res["ok"] is False and "python del venv ComfyUI no encontrado" in res["error"]
+
+
+def test_error_modelo_inexistente(tmp_path):
+    # imagen + python validos, .pth ausente -> error de modelo, sin lanzar el subproceso.
+    res = comfyui_score_aesthetic(_png(tmp_path / "i.png"),
+                                  venv_python=sys.executable,
+                                  model_path=str(tmp_path / "no.pth"))
+    assert res["ok"] is False and "modelo estetico no encontrado" in res["error"]
+
+
+def test_nunca_lanza_y_es_determinista(tmp_path):
+    img = _png(tmp_path / "i.png")
+    a = comfyui_score_aesthetic(img, venv_python=str(tmp_path / "x"))
+    b = comfyui_score_aesthetic(img, venv_python=str(tmp_path / "x"))
+    assert a == b and a["ok"] is False

python/functions/ml/tests/test_comfyui_score_clip_alignment.py

@@ -0,0 +1,47 @@
+"""Tests offline para comfyui_score_clip_alignment (impura: similitud CLIP via subproceso torch).
+
+Sin GPU, sin torch, sin servidor: ejercita SOLO los guards previos al subproceso (imagen
+ausente, prompt vacio, python del venv ComfyUI ausente).
+"""
+
+import os
+import sys
+
+import pytest
+
+sys.path.insert(0, os.path.dirname(__file__))
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
+
+from ml.comfyui_score_clip_alignment import comfyui_score_clip_alignment
+
+PIL = pytest.importorskip("PIL")
+from PIL import Image  # noqa: E402
+
+
+def _png(path):
+    Image.new("RGB", (8, 8), (0, 0, 0)).save(path)
+    return str(path)
+
+
+def test_error_imagen_inexistente(tmp_path):
+    res = comfyui_score_clip_alignment(str(tmp_path / "no.png"), "a cat")
+    assert res["ok"] is False and res["score_0_1"] == 0.0
+    assert "imagen no encontrada" in res["error"]
+
+
+def test_error_prompt_vacio(tmp_path):
+    res = comfyui_score_clip_alignment(_png(tmp_path / "i.png"), "   ")
+    assert res["ok"] is False and "prompt vacio" in res["error"]
+
+
+def test_error_venv_python_inexistente(tmp_path):
+    res = comfyui_score_clip_alignment(_png(tmp_path / "i.png"), "a cat",
+                                       venv_python=str(tmp_path / "no_python"))
+    assert res["ok"] is False and "python del venv ComfyUI no encontrado" in res["error"]
+
+
+def test_nunca_lanza_y_es_determinista(tmp_path):
+    img = _png(tmp_path / "i.png")
+    a = comfyui_score_clip_alignment(img, "a cat", venv_python=str(tmp_path / "x"))
+    b = comfyui_score_clip_alignment(img, "a cat", venv_python=str(tmp_path / "x"))
+    assert a == b and a["ok"] is False