Stable Diffusion Image Generation & Control
18 repos
Techniques and tools for fine-tuning, controlling, and extending Stable Diffusion models for image generation. The cluster covers adapter architectures (IP-Adapter, LoRA variants), attention mechanisms (Attend-and-Excite), prompt engineering, and model composition approaches. Most repositories are Python-based implementations and Jupyter notebooks exploring how to guide diffusion models toward specific visual outputs, face generation, and style transfer without full model retraining.
Python · 11
Jupyter Notebook · 5
TypeScript · 1
stable-diffusion ·41,891
image-generation ·35,642
deep-learning ·35,142
pytorch ·34,835
diffusion ·34,819
flux ·34,420
stable-diffusion-diffusers ·34,418
latent-diffusion-models ·34,405
image2image ·34,405
image2video ·34,405
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Shilin-LU/MACE
[CVPR 2024] "MACE: Mass Concept Erasure in Diffusion Models" (Official Implementation)
