Capitan Conditioning Enhancer
Lightweight post-processing node for Qwen3-4B conditioning in Z-Image Turbo workflows. Refines the 2560-dim CONDITIONING from native Qwen3-4B text encoder with:
Per-token normalization
Optional 8-head self-attention 2-layer MLP refiner (very wide hidden size supported) Positive/negative blend strength
Improves coherence, detail retention, mood consistency, and prompt following — especially powerful when stacked (first node glues scene, second sharpens/details). Many users find this node so useful at low strength they remove CLIPAttentionMultiply entirely.
Installation
extract zip in ComfyUI/custom_nodes Or
git clone https://github.com/capitan01R/ComfyUI-ConditioningEnhancer.git
restart ComfyUI or reload custom nodes
No dependencies.
Placement
After CLIP Text Encode (Prompt) → before KSampler.
Parameters Explained
| Parameter | Type | Default | Range | What it does | Typical use / effect |
|---|---|---|---|---|---|
| enhance_strength | FLOAT | 0.0 | -2.0 → 2.0 | Positive: add refinement, Negative: subtract refinement (sharper, anti-smoothing) | 0.00–0.15 = subtle polish Negative = crisp/literal >0.5 = high risk |
| normalize | BOOLEAN | true | true/false | Per-token mean subtraction + unit variance normalization | Almost always true — stability & cleaner generations |
| add_self_attention | BOOLEAN | false | true/false | Light 8-head self-attention across tokens (distant prompt parts influence each other) | true = better cohesion & complex scene unity false = literal control |
| mlp_hidden_mult | INT | 2 | 1 → 100 | Hidden layer width multiplier for MLP (2560 → 2560×mult → 2560) | 2–10 = balanced 20–50 = hyper-literal detail (recommended max) 60–100 = extreme (low strength only) |
MLP note — UI allows up to 100, but recommended max is 50. Higher rarely adds value and mostly increases artifact risk even at tiny strength (0.01–0.05).
Recommended Starting Points Daily essential / stabilizer
strength: 0.00–0.10 normalize: true add_self_attention: true mlp_hidden_mult: 2–4
Hyper-literal detail mode (stacked)
First node: strength 0.05–0.10, normalize true, self-attn true, mult 2–4 Second node: strength 0.05–0.15 (or -0.05 – -0.15), normalize true, self-attn false, mult 40–50
Warnings High strength (>0.4) + high mlp_hidden_mult + self-attention → rainbow artifacts / noise likely. Very high mult (60+) needs extremely low strength (≤0.05). Always test same seed first. Negative strength + high mult usually safer than positive.