botp/Qwen-Image-2.1-Uncensored-Omni-Quantized

text-to-image model by botp

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[](https://chatrlabs.com/) [](https://huggingface.co/Qwen/Qwen-Image-2.1) Quantized builds at adapter weight 1.0, for text-to-image generation and image editing. This repository ships quantized transformer weights only. The model is our rank-128 Omni adapter merged into Qwen/Qwen-Image-2.1 at LoRA strength 1.0, then quantized. The text encoder, processor and VAE are not included; take them from the base repository. File integrity information is in SHA256SUMS. The 297 and 265 layouts use different MLP representations: 265 uses the fused imgmlp.gateup projection; 297 keeps the separate gatelayer / proj pair. A loader must support the selected layout. The BF16 ComfyUI workflow below was verified with the 297-tensor safetensors file and the native UNETLoader in ComfyUI 0.39.0; support should not be assumed for older or different loaders. These are the values from our inference grid search for the non-distilled model. An omitted or empty negative prompt disables true CFG even when truecfgscale is greater than 1. Use a single space…

botp/Qwen-Image-2.1-Uncensored-Omni-Quantized on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. ChatR Labs Uncensored Omni — Quantized
  2. Download
  3. Which build should I use?
  4. Recommended settings
  5. Usage with ComfyUI
  6. Text-to-image workflow: BF16 transformer, INT8 text encoder, BF16 VAE
  7. Usage with Diffusers
  8. GGUF
  9. FP8 / NF4 / INT8 folders
  10. Text to image
  11. Image editing
  12. Benchmark

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Model overview

botp/Qwen-Image-2.1-Uncensored-Omni-Quantized is a text-to-image model repository published by botp on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-image
Library
diffusers
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
other
Access
Not gated by Hugging Face
Created
2026-11-13T06:34:31.000Z
Last modified
2026-11-13T06:34:31.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen-Image-2.1

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-11-13T06:57:58.356Z. Daily imports are snapshots, not real-time monitoring.

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