I

image-generation

🔧🔗github hf diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

🕸️🔗huggingface.co/docs/diffusers

🔧🔗https://github.com/utensils/nix-comfyui A Nix flake for ComfyUI with Python 3.12

🔧🔗https://github.com/FoundationVision/VAR [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ultra-simple, user-friendly yet state-of-the-art codebase for autoregressive image generation!

https://github.com/THUDM/CogView3 text to image to generation: CogView3-Plus and CogView3(ECCV 2024)

🔧🔗https://github.com/joanrod/ocr-vqganOCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-im

🔧🔗https://github.com/FoundationVision/LlamaGen

Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation 🔗arxiv.org/abs/2406.06525

🔧🔗https://github.com/FoundationVision/OmniTokenizer OmniTokenizer: one model and one weight for image-video joint tokenization.