State of open video generation models in Diffusers

Source: HuggingFace Date: 2025-01-27 URL: https://huggingface.co/blog/video_gen

Summary

Library update and ecosystem overview covering open video generation in Diffusers: CogVideoX, Mochi-1, HunyuanVideo, Allegro, LTX Video. Key benchmark: HunyuanVideo’s 60GB BF16 baseline reduced to 6.56GB via FP8 + group offloading + VAE tiling (at comparable 885s generation time vs 863s baseline). Introduces finetrainers for LoRA fine-tuning on video models. Five optimization categories now supported: quantization, offloading, chunked inference, attention optimization, layerwise casting.

Implications

Thread: open-weights ecosystem health / transformers library trajectory. 6.5GB VRAM for competitive video generation is the threshold that puts it on consumer hardware — RTX 3080/4070 territory. This is described as video generation’s “Stable Diffusion moment” — the claim is that open models are now competitive with Sora/Veo2/Runway Gen3. The finetrainers library announcement signals HF is building video model fine-tuning tooling to match what exists for image generation. Watch whether the optimization techniques (group offloading especially) propagate back to image diffusion workflows.