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BackComfyUI Workflow Detail
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Version Type
TypeWorkflow
FeatureImage to Image
Formatgguf
AuthorDavid
DiffSynth-ControlNets-loras
Note: All model files and custom nodes below must be downloaded via the client. If you do not have the client, Download >>>
This model is a LoRA for image structure control, trained based on Qwen-Image, adopting the In Context technical approach. It supports multiple conditions: canny, depth, lineart, softedge, normal, and openpose.
Model Files
Custom Nodes
| Name | Size | Target Dir |
|---|---|---|
| qwen-image-Q2_K.gguf | 7.06 GB | unet |
| qwen-image-Q3_K_S.gguf | 8.95 GB | unet |
| qwen-image-Q3_K_M.gguf | 9.68 GB | unet |
| qwen-image-Q4_0.gguf | 11.85 GB | unet |
| qwen-image-Q4_K_S.gguf | 12.14 GB | unet |
| qwen-image-Q4_1.gguf | 12.84 GB | unet |
| qwen-image-Q4_K_M.gguf | 13.07 GB | unet |
| qwen-image-Q5_K_S.gguf | 14.12 GB | unet |
| qwen-image-Q5_0.gguf | 14.40 GB | unet |
| qwen-image-Q5_K_M.gguf | 14.93 GB | unet |
| qwen-image-Q5_1.gguf | 15.39 GB | unet |
| qwen-image-Q6_K.gguf | 16.82 GB | unet |
| qwen-image-Q8_0.gguf | 21.76 GB | unet |
| qwen-image-BF16.gguf | 40.87 GB | unet |
| Name | Size | Target Dir |
|---|---|---|
| qwen_image_vae.safetensors | 253.81 MB | vae |
| Name | Size | Target Dir |
|---|---|---|
| Qwen2.5-VL-7B-Instruct-UD-IQ1_S.gguf | 2.07 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-IQ1_M.gguf | 2.20 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-IQ2_XXS.gguf | 2.40 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-IQ2_M.gguf | 2.86 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q2_K.gguf | 3.02 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q2_K_L.gguf | 3.14 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-IQ3_XXS.gguf | 3.17 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-Q2_K_XL.gguf | 3.24 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q3_K_S.gguf | 3.49 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q3_K_M.gguf | 3.81 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-Q3_K_XL.gguf | 4.00 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-IQ4_XS.gguf | 4.24 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-IQ4_NL.gguf | 4.44 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q4_0.gguf | 4.44 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q4_K_S.gguf | 4.46 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q4_K_M.gguf | 4.68 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-Q4_K_XL.gguf | 4.79 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q4_1.gguf | 4.87 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q5_K_S.gguf | 5.32 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q5_K_M.gguf | 5.44 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-Q5_K_XL.gguf | 5.46 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q6_K.gguf | 6.25 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-Q6_K_XL.gguf | 6.96 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-Q8_0.gguf | 8.10 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-UD-Q8_K_XL.gguf | 10.19 GB | text_encoders |
| Qwen2.5-VL-7B-Instruct-BF16.gguf | 15.24 GB | text_encoders |
| Name | Size | Target Dir |
|---|---|---|
| qwen_image_canny_diffsynth_controlnet.safetensors | 2.27 GB | model_patches |
| qwen_image_depth_diffsynth_controlnet.safetensors | 2.27 GB | model_patches |
| qwen_image_inpaint_diffsynth_controlnet.safetensors | 2.27 GB | model_patches |
| qwen_image_union_diffsynth_lora.safetensors | 943.91 MB | loras |
| Name | Size | Target Dir |
|---|---|---|
| Qwen-Image-Lightning-4steps-V2.0.safetensors | 1.70 GB | loras |
| Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors | 850 MB | loras |
| Qwen-Image-Lightning-4steps-V1.0.safetensors | 1.70 GB | loras |
| Qwen-Image-Lightning-8steps-V1.0.safetensors | 1.70 GB | loras |
| Qwen-Image-Lightning-8steps-V1.1.safetensors | 1.70 GB | loras |
| Qwen-Image-Lightning-4steps-V1.0-bf16.safetensors | 849.61 MB | loras |
| Qwen-Image-Lightning-8steps-V1.1-bf16.safetensors | 849.61 MB | loras |