Eric HissandClaude Fable 5.1
4459af9ea6
Every node id, input name and existing widget position is unchanged, so saved
workflows load; new inputs are appended only.
Wildcards
- core/wildcards: Dynamic Prompts / Impact Pack grammar, tag queries, variables,
conditionals, concept / verbatim / loose bindings, reproducible seeds.
Wired into every enhancer node; reads ComfyUI/models/wildcards.
- New nodes: Wildcard Processor, Semantic Variation (direction axes),
Concept Survival Check. Starter lists in wildcards/.
- Random choices use a private generator; global random state is untouched.
Platform profiles
- core/profiles + profiles/*.yaml: one file per model (format, length,
negative prompt or none, quality tokens, text and dialogue syntax, vendor
rewriter prompt fetched once and cached). profiles_user/ overrides by id.
- New node: Platform Prompt Rewriter (prose, tags, edit instructions, JSON,
MiniMax H3 fields, Hailuo brackets), with validators for each format.
- Text-to-Image and Image-to-Image read profiles through platforms.py;
corrected facts for FLUX, Kontext, Chroma, Wan, AuraFlow, Kolors, NoobAI,
Qwen-Image, HunyuanImage. Negative prompt is empty for models without one.
- Hosted / API models: Seedream 5, Nano Banana, GPT Image, Midjourney V8,
FLUX.2 pro, Ideogram 3, Recraft V4, Seedance 2.0 / 2.5, Kling 3.0, Veo 3.1,
Gemini Omni Flash, Runway, Wan 3.0, Luma, hosted H3, Grok, Vidu, PixVerse.
Reports say how to switch the vendor's own prompt rewriting off.
- Illustrious: spaced tags, quality tags last, 25-80 words (OnomaAI paper).
Video nodes
- target_model and duration_seconds appended to the three video expanders.
Default target is MiniMax H3; wan22_video is the original path, unchanged.
A workflow saved earlier loads with the default until the input is set.
Also included: the Alice, Ideogram Magic Prompt and prompt-database nodes that
were already registered in __init__.py but had not been committed.
Fixes: v1 {animal} / {label:a|b} wildcards were inert in the video nodes;
Image-to-Video save_to_file raised NameError; T2I padded short-prompt models.
.gitattributes added (text=auto) so CRLF working files stop showing as
whole-file changes. prompt_database.db and the cached Ideogram prompt are
git-ignored.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019VpCi6nw5UECMdZ7ayYJvN
125 lines
4.2 KiB
Python
125 lines
4.2 KiB
Python
"""
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Save Prompt to Database Node
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ComfyUI node that saves prompts to the local SQLite prompt database.
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Passthrough design – outputs the same prompt it receives so it can be
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inserted into any workflow without breaking connections.
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Author: Eric Hiss (GitHub: EricRollei)
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"""
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import logging
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from .prompt_database import PromptDatabase, PLATFORMS, CATEGORIES
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logger = logging.getLogger(__name__)
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class SavePromptToDatabase:
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"""
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Saves a prompt (and optional negative prompt) to the local prompt
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database. The positive prompt is passed through unchanged so this
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node can sit between a prompt-generating node and a sampler.
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"""
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def __init__(self):
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self.db = PromptDatabase()
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"prompt_text": ("STRING", {
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"multiline": True,
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"default": "",
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"tooltip": "The prompt to save. Connect this to the output of any prompt enhancer node.",
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}),
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"category": (CATEGORIES, {
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"default": "any",
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"tooltip": "Subject category for organisation.",
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}),
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"platform": (PLATFORMS, {
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"default": "any",
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"tooltip": "Target generation platform (Flux, SDXL, Pony, etc.).",
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}),
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"tags": ("STRING", {
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"default": "",
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"tooltip": "Comma-separated tags for easy searching later.",
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}),
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"rating": ("INT", {
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"default": 0,
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"min": 0,
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"max": 5,
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"step": 1,
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"tooltip": "Quality rating 0-5 (0 = unrated).",
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}),
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"save_enabled": ("BOOLEAN", {
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"default": True,
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"tooltip": "Toggle saving on/off without disconnecting the node.",
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}),
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},
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"optional": {
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"negative_prompt": ("STRING", {
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"multiline": True,
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"default": "",
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"forceInput": True,
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"tooltip": "Optional negative prompt to store alongside.",
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}),
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"notes": ("STRING", {
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"multiline": True,
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"default": "",
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"tooltip": "Free-form notes about this prompt.",
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}),
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"favorite": ("BOOLEAN", {
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"default": False,
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"tooltip": "Mark this prompt as a favorite.",
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}),
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},
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}
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RETURN_TYPES = ("STRING", "STRING", "INT", "STRING")
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RETURN_NAMES = ("prompt_text", "negative_prompt", "prompt_id", "status")
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FUNCTION = "save_prompt"
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CATEGORY = "Eric Prompt Enhancers/Database"
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OUTPUT_NODE = True
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def save_prompt(
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self,
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prompt_text: str,
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category: str,
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platform: str,
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tags: str,
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rating: int,
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save_enabled: bool,
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negative_prompt: str = "",
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notes: str = "",
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favorite: bool = False,
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):
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if not save_enabled:
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return (prompt_text, negative_prompt, 0, "Save disabled – passthrough only")
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if not prompt_text.strip():
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return (prompt_text, negative_prompt, 0, "Empty prompt – nothing saved")
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try:
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prompt_id = self.db.save_prompt(
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prompt_text=prompt_text,
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negative_prompt=negative_prompt,
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category=category,
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platform=platform,
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tags=tags,
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rating=rating,
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source="manual",
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notes=notes,
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favorite=favorite,
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)
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stats = self.db.stats()
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status = (
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f"Saved as #{prompt_id} | "
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f"DB total: {stats['total_prompts']} prompts"
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)
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logger.info(f"Prompt saved to database with id={prompt_id}")
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return (prompt_text, negative_prompt, prompt_id, status)
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except Exception as e:
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logger.error(f"Error saving prompt: {e}")
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return (prompt_text, negative_prompt, 0, f"Error: {e}")
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