Diffusers Modular Pipeline repositories
AI & ML interests
Solving everything with diffusion models!
Recent Activity
View all activity
This collection regroups quantized flux checkpoints that we used in this blogpost: https://huggingface.co/blog/diffusers-quantization
Models and handler code used in https://huggingface.co/blog/remote_vae
This collection lists the demos to be presented at ICCV 2023 utilizing the Diffusers library (https://iccv2023.thecvf.com/demos-111.php).
Resources (papers) mostly related to studying the scaling aspects of diffusion models. The resources appear in non-chronological order.
-
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Paper • 2404.01367 • Published • 22 -
On the Scalability of Diffusion-based Text-to-Image Generation
Paper • 2404.02883 • Published • 19 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71 -
Improved Denoising Diffusion Probabilistic Models
Paper • 2102.09672 • Published • 2
Custom blocks for Modular Diffusers
Fine-tune of Florence-2 to generate shot categories, useful for data curation. Code: https://github.com/huggingface/movie-shot-categorizer.
The Pokemons dataset from Lambda Labs is quite popular in the diffusion community because it lets us quickly validate ideas.
Diffusers Modular Pipeline repositories
Custom blocks for Modular Diffusers
This collection regroups quantized flux checkpoints that we used in this blogpost: https://huggingface.co/blog/diffusers-quantization
Fine-tune of Florence-2 to generate shot categories, useful for data curation. Code: https://github.com/huggingface/movie-shot-categorizer.
Models and handler code used in https://huggingface.co/blog/remote_vae
This collection lists the demos to be presented at ICCV 2023 utilizing the Diffusers library (https://iccv2023.thecvf.com/demos-111.php).
The Pokemons dataset from Lambda Labs is quite popular in the diffusion community because it lets us quickly validate ideas.
Resources (papers) mostly related to studying the scaling aspects of diffusion models. The resources appear in non-chronological order.
-
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Paper • 2404.01367 • Published • 22 -
On the Scalability of Diffusion-based Text-to-Image Generation
Paper • 2404.02883 • Published • 19 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71 -
Improved Denoising Diffusion Probabilistic Models
Paper • 2102.09672 • Published • 2