tsunghan-wu/SLD
🔥 [CVPR2024] Official implementation of "Self-correcting LLM-controlled Diffusion Models (SLD)
This project helps graphic designers, content creators, or marketers refine AI-generated images to precisely match textual descriptions. You input an image and a text prompt (either for a new image or editing an existing one), and it outputs a corrected, higher-quality image that aligns better with your instructions. This is ideal for anyone who uses AI tools like DALL-E or Stable Diffusion but struggles with the generated images not quite matching their vision.
187 stars. No commits in the last 6 months.
Use this if you need to generate new images or edit existing ones with fine-grained control over details like object count, spatial relationships, or specific attributes, and your current AI image generator isn't precise enough.
Not ideal if you're looking for a simple, out-of-the-box consumer application for quick, unrefined image generation or editing without needing high precision.
Stars
187
Forks
10
Language
Python
License
MIT
Category
Last pushed
Apr 09, 2024
Commits (30d)
0
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