Seeking a Stable Diffusion Workflow for Product Photography
The user is looking for a ready-to-use ComfyUI workflow to replace the background of a product with intricate rainbow patterns and text, while preserving the original text and shape accurately.
Why it matters
Accurate product photography is crucial for e-commerce and marketing, and this workflow could help streamline the process while preserving important details.
Key Points
- 1Need to replace background of a product with rainbow patterns and text
- 2Current workflows tend to distort or hallucinate the original text and shape
- 3Seeking a workflow with auto-masking, inpainting, and ControlNet for realistic shadows and lighting
Details
The user is working on a product photography project and needs to replace the background of a specific box with intricate rainbow patterns and text (like a logo and website details). The main challenge is that when generating a new background, the model tends to slightly distort the original text and the exact shape of the product. The user is looking for a solid, ready-to-use ComfyUI workflow that can handle this task flawlessly. The ideal workflow should include auto-masking (like SAM or RemBG) to perfectly isolate the product, inpainting to generate the new environment (e.g., placed on a wooden table, nature, etc.), and ControlNet (Depth/Canny) to keep the shadows and lighting realistic on the new surface.
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