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LTX-Video-0.9.5-gguf
city96基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗LTX-Video-0.9.6-dev-gguf
city96基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders: The VAE seems to be largely the same as LTXV 0.9.5 and the difference between the two seems negligible, but I've uploaded the 0.9.6 one to this repo to be safe *As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.*
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View details ↗LTX-Video-gguf
city96As this is a quantized model not a finetune, all the same restrictions/original license terms still apply. Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions.
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View details ↗Qwen-Image-gguf
city96This is a direct GGUF conversion of Qwen/Qwen-Image. The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders: > [!NOTE] > The Q5_K_M, Q4_K_M and most importantly the low bitrate quants (Q3_K_M, Q3_K_S, Q2_K) use a new dynamic logic where the first/last layer is kept in high precision. > > For a comparison, see this imgsli page. With this method, even Q2_K remains somewhat usable.
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View details ↗As this is a quantized model not a finetune, all the same restrictions/original license terms still apply. Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗t5-v1_1-xxl-encoder-bf16
city96基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗t5-v1_1-xxl-encoder-gguf
city96The weights can be used with `./llama-embedding` or with the ComfyUI-GGUF custom node together with image generation models. This is a **non imatrix** quant as llama.cpp doesn't support imatrix creation for T5 models at the time of writing. It's therefore recommended to use **Q5_K_M or larger** for the best results, although smaller models may also still provide decent results in resource constrained scenarios.
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View details ↗umt5-xxl-encoder-gguf
city96This is a GGUF conversion of Google's UMT5 xxl model, specifically the encoder part. The weights can be used with `./llama-embedding` or with the ComfyUI-GGUF custom node together with image/video generation models. This is a **non imatrix** quant as llama.cpp doesn't support imatrix creation for T5 models at the time of writing. It's therefore recommended to use **Q5_K_M or larger** for the best results, although smaller models may also still provide decent results in resource constrained scenarios.
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View details ↗This is a direct GGUF conversion of Wan-AI/Wan2.1-FLF2V-14B-720P All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF. The model files can be used with the ComfyUI-GGUF custom node.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Wan2.1-Fun-14B-InP-gguf
city96基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Wan2.1-I2V-14B-480P-gguf
city96This is a direct GGUF conversion of Wan-AI/Wan2.1-I2V-14B-480P All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF. The model files can be used with the ComfyUI-GGUF custom node.
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View details ↗Wan2.1-I2V-14B-720P-gguf
city96This is a direct GGUF conversion of Wan-AI/Wan2.1-I2V-14B-720P All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF. The model files can be used with the ComfyUI-GGUF custom node.
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View details ↗Wan2.1-T2V-14B-gguf
city96This is a direct GGUF conversion of Wan-AI/Wan2.1-T2V-14B All quants are created from the FP32 base file, though I only uploaded FP16 due to it exceeding the 50GB max file limit and gguf-split loading not currently being supported in ComfyUI-GGUF. The model files can be used with the ComfyUI-GGUF custom node.
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View details ↗humanize-ai-text-bart-large
cive202基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗age-vit
Civitai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen-Image-2512-GGUF
Civitai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Sulphur-2-distilled-fp8
Civitai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗flux1-dev-checkpoints
civitai2026基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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