Updates for WAN 2.1 and Hunyuan image to video ComfyUI workflows.
Blog post from Comfy
Recent updates in the field of video model workflows have highlighted enhancements for WAN 2.1 and the Hunyuan image-to-video models. It has been observed that the WAN 2.1 model, particularly the 1.3B version, performs better when inferenced in fp16, offering a quality boost compared to the original bf16 format and yielding results closer to the full precision fp32 weights. For those with limited VRAM, fp8_scaled weights are available, providing improved results over standard fp8 weights. The Hunyuan team released a v2 "replace" version of their image-to-video model, which adheres more closely to guiding images, though the original v1 "concat" model may offer superior motion and prompt adherence. Both models have distinct advantages, depending on user needs, with workflows accessible online. Additionally, the new LTXV model offers an alternative for users seeking faster processing, and the SaveWEBM node now allows for video preview and loading workflows directly from saved WebM files.
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