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A Hugging Face community article documents five reference-to-video tests using FastVideo’s FastH3 Omni Reference model in ComfyUI. The useful part is the practical setup: the tests used an NVIDIA L40 with 48GB of VRAM, an eight-step configuration and roughly one-megapixel output.
Why it mattersThe author also shares prompts, reference-image assignments and ComfyUI settings for tests including character consistency and product scenes. That gives AI video tinkerers something concrete to reproduce, rather than another set of mysteriously polished clips. The article says quantised weights and sparse attention were used to reduce memory and computation, but provides no performance figures proving how much they helped. Results and VRAM needs may vary by hardware and workload.
Discuss: For reference-guided video generation, which should matter more: keeping people and products consistent, or making the workflow cheaper and easier to run?
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