ChronoEdit-14B-GGUF
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This GGUF file is a direct conversion of black-forest-labs/FLUX.1-Kontext-dev Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. The model can be used with the ComfyUI custom node ComfyUI-GGUF by city96
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This GGUF file is a direct conversion of black-forest-labs/FLUX.1-Krea-dev Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. The model can be used with the ComfyUI custom node ComfyUI-GGUF by city96
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Since this is a quantized model, all original licensing terms and usage restrictions remain in effect. Place model files in `ComfyUI/models/unet` see the GitHub readme for further installation instructions. I've included a Flux KV Cache node compatible with GGUF models and a fix that doesn't limit the editing capabilities of the model.
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This GGUF file is a direct conversion of Lightricks/LTX-2.3 Type | Name | Location | Download | ------------ | -------------------------------------------------- | --------------------------------- | ------------------------- | Main Model | LTX-2.3 | `ComfyUI/models/unet` | GGUF (this repo) | Text Encoder | Gemma 3 | `ComfyUI/models/text_encoders` | Safetensors / GGUF | | Text Encoder | Text Projection | `ComfyUI/models/text_encoders` | Safetensors| | VAE Video / VAE Audio | vae | `ComfyUI/models/vae` | Safetensors | Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
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The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders: The old example workflow from last version should still work, youll just need to switch the vae and the gguf. **Example workflow** - based on the official example workflow *As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.*
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The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders: The old example workflow from last version should still work, youll just need to switch the vae and the gguf. **Example workflow** - based on the official example workflow *As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.*
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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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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。
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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This GGUF file is a direct conversion of Qwen/Qwen-Image-Edit-2509 Type | Name | Location | Download | ------------ | -------------------------------------------------- | --------------------------------- | ------------------------- | Main Model | Qwen-Image | `ComfyUI/models/unet` | GGUF (this repo) | Main Text Encoder | Qwen2.5-VL-7B | `ComfyUI/models/text_encoders` | Safetensors / GGUF | | Text_Encoder (mmproj) | Qwen2.5-VL-7B-Instruct-mmproj-BF16 | `ComfyUI/models/text_encoders` (same folder as your main text encoder) | GGUF (this repo) | VAE | Qwen-Image VAE | `ComfyUI/models/vae` | Safetensors (this repo) | Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
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This GGUF file is a direct conversion of Qwen/Qwen-Image-Edit Type | Name | Location | Download | ------------ | -------------------------------------------------- | --------------------------------- | ------------------------- | Main Model | Qwen-Image | `ComfyUI/models/unet` | GGUF (this repo) | Main Text Encoder | Qwen2.5-VL-7B | `ComfyUI/models/text_encoders` | Safetensors / GGUF | | Text_Encoder (mmproj) | Qwen2.5-VL-7B-Instruct-mmproj-BF16 | `ComfyUI/models/text_encoders` (same folder as your main text encoder) | GGUF (this repo) | VAE | Qwen-Image VAE | `ComfyUI/models/vae` | Safetensors (this repo) | Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
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This GGUF file is a direct conversion of Qwen/Qwen-Image Type | Name | Location | Download | ------------ | -------------------------------------------------- | --------------------------------- | ------------------------- | Main Model | Qwen-Image | `ComfyUI/models/unet` | GGUF (this repo) | Text Encoder | Qwen2.5-VL-7B | `ComfyUI/models/text_encoders` | Safetensors / GGUF | | VAE | Qwen-Image VAE | `ComfyUI/models/vae` | Safetensors (this repo) | Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
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This is a direct GGUF conversion of Wan-AI/Wan2.1-VACE-14B All quants are created from the FP32 base file, though I only uploaded the Q8_0 and less, if you want the F16 or BF16 one I would upload it per request. The model files can be used with the ComfyUI-GGUF custom node.
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All quantized versions were created from the base I2V FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository. The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders:
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All quantized versions were created from the base T2V FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository. The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders:
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All quantized versions were created from the base FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository. The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders:
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This is a GGUF conversion of an addon of lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill and Wan-AI/Wan2.1-VACE-14B scopes. The process involved extracting VACE scopes and injecting into the target models, using scripts provided by wsbagnsv1. All quantized versions were created from the FP16 model using the conversion scripts provided by city96, available at the ComfyUI-GGUF GitHub repository.
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This GGUF file is a direct conversion of Wan-AI/Wan2.2-Animate-14B **Example workflow** (Thanks to verolelb on discord for publishing this workflow ❤) Type | Name | Location | Download | ------------ | ---------------------------------------------------------- | --------------------------------- | ------------------------- | Main Model | Wan2.2-Animate-14B | `ComfyUI/models/unet` | GGUF (this repo) | Text Encoder | Umt5-xxl | `ComfyUI/models/text_encoders` | Safetensors / GGUF | | VAE | Wan2.1_VAE.safetensors | `ComfyUI/models/vae` | Safetensors | Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
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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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Type | Name | Location | Download | ------------ | -------------------------------------------------- | --------------------------------- | ------------------------- | Main Model | Wan2.2-Fun-5B-Control | `ComfyUI/models/unet` | GGUF (this repo) | Text Encoder | Umt5-xxl | `ComfyUI/models/text_encoders` | Safetensors / GGUF | | VAE | Wan2.2_VAE.safetensors | `ComfyUI/models/vae` | Safetensors (this repo) | Since this is a quantized model, all original licensing terms and usage restrictions remain in effect.
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可以调整厂商、分类或输入输出条件;新模型正持续收录。
调整月度 Token 用量,直观比较不同模型的预估 API 开支。
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照;不计缓存优惠、阶梯价、推理额外输出与税费,请以来源的当前报价为准。
先区分输入、输出和缓存价格,再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费,不能直接与 Token 单价比较。
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本,再选择模型。