Qwen-Image-2.1-PE-Heretic-ComfyUI

Qwen-Image-2.1 PE Heretic ComfyUI single-file builds

The refusal-ablated Qwen-Image-2.1 prompt rewriters, repacked as the single .safetensors files ComfyUI loads. Same weights as the safetensors releases (T2I, I2I), merged from their shards: 760 tensors, identical names and values, nothing renamed or quantized.

Not affiliated with or endorsed by Alibaba / Qwen. Derived from Qwen/Qwen-Image-2.1-PE-T2I and -PE-I2I under the Qwen Research License (copy included). Non-commercial use only.

These rewrite your prompt; they do not generate images. You still need Qwen-Image-2.1 itself for that.

Files

FP8 builds: the 358 linear weight matrices are cast to float8_e4m3fn; embeddings, lm_head, the patch/position embeddings and all 1-D tensors stay bf16. Mean error on the cast weights is 4.8%. Checked before publishing: the FP8 weights still produce a valid rewrite with the same aspect ratio (398 vs 472 words on the same prompt). This is a plain cast, not a scaled or calibrated FP8, so use bf16 if you see drift.

system_prompt_t2i.txt and system_prompt_i2i.txt are included. Each task has its own and they are not interchangeable; the node ships the stock ones, which apply unchanged here.

Use in ComfyUI

1. Put the file(s) in ComfyUI/models/text_encoders/.
2. Install the prompt-enhancer node: benjiyaya/ComfyUI-Qwen-Image-2.1-Prompt-Enhancer.
3. Pick the file in the node (it loads through ComfyUI's CLIPLoader, type qwen_image). The I2I node takes image_1 … image_10, referenced in the instruction as <image1>, <image2>, …

These are drop-in replacements for the stock single-file builds (e.g. HarleyWang/Qwen-Image-2.1-PE-ComfyUI); the only difference is the ablation.

Smaller than FP8? The GGUF builds (Q8_0 ≈ 8.9 GB, Q4_K_M ≈ 5.2 GB) work with llama.cpp/Ollama-based LLM nodes rather than CLIPLoader; see the family table. There is no 4-bit format that ComfyUI's CLIPLoader reads, so 4-bit means GGUF (LLM nodes) or the NVFP4 builds (vLLM). An int8-ConvRot build is not published here.

Ablation

Refusal rates and the damage they cost (KL divergence) are on the parent cards: T2I · I2I.

The family

T2I rewrites a short request into a detailed prompt for new images; I2I rewrites an edit instruction, reading the image being edited. Both are prompt rewriters for Qwen-Image-2.1, not image generators.