google-labs-jules[bot]
f482ab1fbd
1. Fix Normalization Bug: - The previous implementation normalized each token immediately after scaling, effectively cancelling the emphasis weight. - Updated logic to calculate global mean before scaling and restore it after scaling all tokens, correctly implementing A1111's 'EmphasisOriginal' behavior. 2. Improve Model Compatibility: - Modified token handling to preserve all keys in the `tokens` dictionary (e.g., `t5xxl` for Flux/SD3) instead of reconstructing a partial dictionary. This prevents silent failures for non-SDXL/SD1.5 models. - Added a safeguard in `_apply_direct_scaling_sdxl` to check if the embedding dimension matches the expected SDXL size (2048). If not (e.g., SD3), it falls back to generic scaling and logs a warning instead of producing incorrect output. 3. Note on hooks.py: - The `hooks.py` file remains unused as per current implementation status (placeholder for future sampler integration).
A1111 Prompt Node (God Node)
A custom ComfyUI node that implements A1111-style prompt handling with proper isolation and emphasis math.
Installation
Requires lark for full nested syntax support:
pip install lark
✅ Working Features
Core Features
- Hard Chunking (The Sandbox): Tokens split into 75-token chunks with padding, preventing concept bleeding
- Direct Scaling (Anti-Burn): Uses
z * weightinstead of Comfy's interpolation, avoiding artifacts at high weights - BREAK Support: Fully isolated context windows
- Emphasis:
(text:1.2),(text),[text]
Scheduling (Fully Recursive)
| Syntax | Meaning |
|---|---|
[cat:dog:0.5] |
Switch from "cat" to "dog" at 50% |
[cat:dog:10] |
Switch at step 10 (requires steps input) |
[glasses:0.5] |
Add "glasses" at 50% |
[glasses:10] |
Add at step 10 |
[hat::0.7] |
Remove "hat" at 70% |
[hat::15] |
Remove at step 15 |
Nested syntax supported:
[honovy, exsys:chen bin, [as109|fkey], [sweetonedollar:11]:0.4]
Alternation
[white|black]- Blends concepts (50/50 average)[A|B|C]- Equal blend of 3 options (33% each)
Model Support
- SDXL: Dual CLIP (clip_l + clip_g) with independent weight scaling
- SD1.5: Full support
Inputs
| Input | Type | Description |
|---|---|---|
| clip | CLIP | The CLIP model |
| text | STRING | Prompt with A1111 syntax |
| steps | INT | Total sampling steps (for step-based scheduling) |
| normalization | BOOL | Enable EmphasisOriginalNoNorm |
🚧 Known Limitations
- Token Counter: Display pending frontend integration
- True Alternation: Uses blending, not per-step switching (would need sampler hooks)
- Without Lark: Nested syntax won't parse; falls back to simple regex
Usage Examples
# Basic emphasis
a (beautiful:1.3) landscape
# BREAK for isolation
artist name BREAK character name, wearing a hat
# Step-based scheduling (with steps=28)
[mountains:ocean:14] at sunset
# Nested scheduling with alternation
1girl, [honovy:chen bin, [as109|fkey]:0.4]
# Combined
(epic:1.2) [forest:city:0.3] BREAK detailed background