© 2026 武汉见山行科技有限公司 版权所有
Skip to content
返回ComfyUI工作流详情
🔍
版本类型
类型工作流
功能文生图
格式gguf
作者David
女神梦幻璀璨 Qwen-Image-2512
注意：以下所有模型文件及自定义节点，须在客户端中下载，如果没有客户端，前往下载 >>>
这是一个专为高级幻想、华丽古风女性角色打造的风格化 LoRA。它能为画面注入极致精致的五官、璀璨夺目的珠宝饰品，以及梦幻柔和的蓝紫色发光特效。
模型文件
自定义节点
| 名称 | 大小 | 本地存放目录 |
|---|---|---|
| qwen-image-2512-Q2_K.gguf | 7.22 GB | unet |
| qwen-image-2512-Q3_K_S.gguf | 9.04 GB | unet |
| qwen-image-2512-Q3_K_M.gguf | 9.74 GB | unet |
| qwen-image-2512-Q4_0.gguf | 11.85 GB | unet |
| qwen-image-2512-Q4_K_S.gguf | 12.27 GB | unet |
| qwen-image-2512-Q4_1.gguf | 12.84 GB | unet |
| qwen-image-2512-Q4_K_M.gguf | 13.13 GB | unet |
| qwen-image-2512-Q5_K_S.gguf | 14.30 GB | unet |
| qwen-image-2512-Q5_0.gguf | 14.40 GB | unet |
| qwen-image-2512-Q5_K_M.gguf | 15.00 GB | unet |
| qwen-image-2512-Q5_1.gguf | 15.39 GB | unet |
| qwen-image-2512-Q6_K.gguf | 16.82 GB | unet |
| qwen-image-2512-Q8_0.gguf | 21.76 GB | unet |
| qwen-image-2512-BF16.gguf | 40.87 GB | unet |
| qwen-image-2512-F16.gguf | 40.87 GB | unet |
| 名称 | 大小 | 本地存放目录 |
|---|---|---|
| qwen_image_vae.safetensors | 253.81 MB | vae |
| 名称 | 大小 | 本地存放目录 |
|---|---|---|
| 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 |
| 名称 | 大小 | 本地存放目录 |
|---|---|---|
| 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 |
| 名称 | 大小 | 本地存放目录 |
|---|---|---|
| cuicannv_c1-st1000.safetensors | 306.42 MB | loras |
| cuicannv_c1-st2000.safetensors | 306.42 MB | loras |
| cuicannv_c1-st3000.safetensors | 306.42 MB | loras |
| cuicannv_c1-st4000.safetensors | 306.42 MB | loras |
| cuicannv_c1-st5000.safetensors | 306.42 MB | loras |
| cuicannv_c1-st6000.safetensors | 306.42 MB | loras |
| cuicannv_c1-st7000.safetensors | 306.42 MB | loras |
| cuicannv_c1-st8000.safetensors | 306.42 MB | loras |