chatrlabs/Qwen-Image-2.1-Uncensored-Omni-Quantized
text-to-image model by chatrlabs
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
[](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…
Read the full model card ↗ · Preview checked 2026-11-12T10:14:18.427Z
Inside the original model card — Document outline
- ChatR Labs Uncensored Omni — Quantized
- Download
- Which build should I use?
- Recommended settings
- Usage with ComfyUI
- Text-to-image workflow: BF16 transformer, INT8 text encoder, BF16 VAE
- Usage with Diffusers
- GGUF
- FP8 / NF4 / INT8 folders
- Text to image
- Image editing
- Memory and performance
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Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
chatrlabs/Qwen-Image-2.1-Uncensored-Omni-Quantized is a text-to-image model repository published by chatrlabs 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)
- 68,096
- Cumulative likes
- 254
- Hugging Face trending score
- 188
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-11-03T16:13:25.000Z
- Last modified
- 2026-11-13T01:42:14.000Z
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.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T06:56:53.534Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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