Qwen-Image-Edit 8 steps GGUF
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Qwen-Image-Edit is an image editing model developed based on the 20-billion-parameter Qwen-Image, launched in August 2025. It incorporates the powerful text rendering capabilities of Qwen-Image, supports Chinese and English text editing, and can precisely modify text in images while preserving the font, size, and style. The model has dual editing capabilities for semantics and appearance. By feeding the input image into Qwen2.5-VL and VAE Encoder simultaneously, it enables advanced semantic editing such as IP creation and style transfer, as well as low-level appearance editing like element addition, deletion, and modification. It performs outstandingly in multiple public benchmark tests and ranks among the industry's top models. It is widely applicable in fields such as creative design, commercial poster production, and content creation, greatly reducing the technical barriers of image editing and improving creative efficiency.
| Name | Size | Target Dir |
|---|---|---|
| Qwen_Image_Edit-Q2_K.gguf | 7.06 GB | unet |
| Qwen_Image_Edit-Q3_K_S.gguf | 8.95 GB | unet |
| Qwen_Image_Edit-Q3_K_M.gguf | 9.68 GB | unet |
| Qwen_Image_Edit-Q4_0.gguf | 11.85 GB | unet |
| Qwen_Image_Edit-Q4_K_S.gguf | 12.14 GB | unet |
| Qwen_Image_Edit-Q4_1.gguf | 12.84 GB | unet |
| Qwen_Image_Edit-Q4_K_M.gguf | 13.07 GB | unet |
| Qwen_Image_Edit-Q5_K_S.gguf | 14.12 GB | unet |
| Qwen_Image_Edit-Q5_0.gguf | 14.40 GB | unet |
| Qwen_Image_Edit-Q5_K_M.gguf | 14.93 GB | unet |
| Qwen_Image_Edit-Q5_1.gguf | 15.39 GB | unet |
| Qwen_Image_Edit-Q6_K.gguf | 16.82 GB | unet |
| Qwen_Image_Edit-Q8_0.gguf | 21.76 GB | unet |
| Name | Size | Target Dir |
|---|---|---|
| qwen_image_vae.safetensors | 253.81 MB | vae |
| 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 |
| 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 |