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0xSojalSec/Qwen-Image-2.1-Uncensored-GGUF

0xSojalSec Qwen GGUF image-gen
curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/0xSojalSec%2FQwen-Image-2.1-Uncensored-GGUF"
Response includes
  • classification m-uncensored
  • files 8
  • author_summary 13 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Model age
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created 2026-09-20

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Metadata

License
other
Quantizations
Q4 Q4_K Q5_K Q6_K Q8_0
Tags
gguf qwen image-generation comfyui comfyui-gguf text-to-image base_model:Qwen/Qwen-Image-2.1 base_model:quantized:Qwen/Qwen-Image-2.1 license:other region:us

Related

Total size
25.5 GB
Files
8
Quantizations
6
Registered
2026-09-20 20:56
Last updated on HF
2026-09-20 20:04

Files by quantization

Q8_0 1 file 7.07 GB
qwen-image-2.1-Q8_0.gguf 7.07 GB 763ee46b download
Q6_K 1 file 5.47 GB
qwen-image-2.1-Q6_K.gguf 5.47 GB a3a0d39b download
Q5_K 1 file 4.86 GB
qwen-image-2.1-Q5_K_M.gguf 4.86 GB 88ce8e90 download
Q4_K 1 file 4.29 GB
qwen-image-2.1-Q4_K_M.gguf 4.29 GB 833439e9 download
Q4 1 file 3.77 GB
qwen-image-2.1-Q4_0.gguf 3.77 GB 8efd2614 download
Auxiliary files 3 files 5.48 KB
README.md 2.99 KB d54e5f71 download
.gitattributes 1.86 KB e895ec7c download
SHA256SUMS 644 B efb3b379 download

README current version from Hugging Face


license: other
license_name: qwen-research
base_model:

  • Qwen/Qwen-Image-2.1
    base_model_relation: quantized
    pipeline_tag: text-to-image
    library_name: gguf
    tags:
  • gguf
  • qwen
  • image-generation
  • comfyui
  • comfyui-gguf

Qwen-Image-2.1 Uncensored GGUF

GGUF quantizations of Qwen/Qwen-Image-2.1 for local image generation using the original upstream base weights.

Benchmark

Qwen-Image-2.1 benchmark

GGUF files

Quantization File Size
Q8_0 qwen-image-2.1-Q8_0.gguf 7.59 GiB
Q6_K qwen-image-2.1-Q6_K.gguf 5.88 GiB
Q5_K_M qwen-image-2.1-Q5_K_M.gguf 5.22 GiB
Q4_K_M qwen-image-2.1-Q4_K_M.gguf 4.6 GiB
Q4_0 qwen-image-2.1-Q4_0.gguf 4.05 GiB

Q4_K_M is recommended for the best balance of size and quality.

Usage

Use the model with ComfyUI and ComfyUI-GGUF.

These GGUF files contain the Qwen-Image-2.1 image transformer; the original text encoder and VAE are also required for inference.

  1. Download one GGUF file from this repository.
  2. Place it in the ComfyUI diffusion models directory.
  3. Download the required text encoder and VAE from Qwen/Qwen-Image-2.1.
  4. Place them in their corresponding ComfyUI model directories.
  5. Load a Qwen-Image-2.1 workflow and select the GGUF model.
ComfyUI/
└── models/
    ├── diffusion_models/
    │   └── qwen-image-2.1-Q4_K_M.gguf
    ├── text_encoders/
    │   └── ...
    └── vae/
        └── ...

Uncensored

These are quantizations of the original Qwen-Image-2.1 weights; no fine-tuning, abliteration, or other weight modification was applied. Local testing found no pipeline-level safety checker or prompt blacklist, and the model generated the tested adult, nudity, violence, and other sensitive categories without observed runtime refusal. Hosted services may apply their own moderation.

Source and build

Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in app" button that hands off directly to a local runtime of your choice - Abliteration, LM Studio, or Ollama. No API keys, no subscription, no prompt leakage.