qwen-edit-apps/qwen-image-edit-plus-lora-fusion 🔢🖼️📝✓❓ → 🖼️
About
Fusion – Product/object blending that fixes perspective and lighting so the subject melts into a new background via the Fusion LoRA.
Example Output
Prompt:
"溶图,纠正产品透视角度和光影并使产品融入背景, 描述新的环境与灯光让主体自然融入"
Output
Performance Metrics
9.00s
Prediction Time
9.01s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/O3fkRFw4ktCoN63eFeO8kglC9ES9I8TbUFXtT3FmJE1PWGCd/image.png",
"prompt": "溶图,纠正产品透视角度和光影并使产品融入背景, 描述新的环境与灯光让主体自然融入",
"lora_scale": 1,
"aspect_ratio": "match_input_image",
"lora_weights": "",
"output_format": "webp",
"output_quality": 95,
"true_guidance_scale": 1
}
Input Parameters
- seed
- Random seed. Set for reproducible generation.
- image (required)
- Image file uploaded to Cog (jpeg, png, gif, or webp).
- prompt
- Prompt hint: paste the Chinese trigger `溶图,纠正产品透视角度和光影并使产品融入背景` (it means “blend the product into the background with corrected perspective and lighting”), then describe in English the scene and lighting you want.
- go_fast
- If num_inference_steps is omitted, true runs the 8-step Lightning preset and false runs the 40-step detailed preset.
- lora_scale
- Strength applied to the selected LoRA. Leave blank for the proxy default.
- aspect_ratio
- Aspect ratio for the generated image
- lora_weights
- LoRA weights to apply. Leave blank to use the proxy's default adapter.
- output_format
- Format of the output images.
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs.
- num_inference_steps
- Explicit denoising step count (1-40). Leave blank to use the go_fast presets (fast = 8 steps, slow = 40 steps).
- true_guidance_scale
- True classifier-free guidance scale passed to the pipeline.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Proxy call -> model=qwen/qwen-image-edit-plus-lora, adapter=dx8152/Qwen-Image-Edit-2509-Fusion, scale=1.0
Version Details
- Version ID
0fdb72e0360d0b91ac1e8d4b5ea6968042c316a4e9ae3e4931a6fa56bec36891- Version Created
- November 14, 2025