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- Advanced Tuning Guide
-- Start from a maintained FastVideo recipe, then copy an executable config. Runtime and memory estimates are intentionally omitted until reproducible benchmark records are published. -
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- Video length
{videoLength}s
Total pixels
{(totalPixels / 1_000_000).toFixed(1)}M
Latent tokens
{latentTokens.toLocaleString()}
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- setConfig((current) => ({ ...current, dit_cpu_offload: value, dit_layerwise_offload: value ? false : current.dit_layerwise_offload }))}
- />
- setConfig((current) => ({ ...current, dit_layerwise_offload: value, dit_cpu_offload: value ? false : current.dit_cpu_offload, use_fsdp_inference: value ? false : current.use_fsdp_inference }))}
- help="Mutually exclusive with whole-DiT offload and FSDP."
- />
- updateConfig("vae_cpu_offload", value)} />
- updateConfig("text_encoder_cpu_offload", value)} />
- updateConfig("image_encoder_cpu_offload", value)} disabled={!isImageWorkload} />
- updateConfig("pin_cpu_memory", value)} />
- updateConfig("use_fsdp_inference", value)} disabled={config.num_gpus <= 1 || config.dit_layerwise_offload} />
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- Workload
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- {WORKLOADS.map((workload) => {
- const Icon = WORKLOAD_ICONS[workload.id] ?? Film
- return (
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- )
- })}
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- ({ id: model.id, name: `${model.name} (${model.size})` }))}
- help="Models registered for the selected workload."
- />
- setConfig((current) => ({
- ...current,
- num_gpus: value,
- use_fsdp_inference: value > 1 && current.use_fsdp_inference,
- }))}
- min={1}
- max={8}
- />
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- - Recipe source: FastVideo {SOURCE.fastvideoCommit.slice(0, 8)}. Hardware fit is not inferred. -
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- updateConfig("height", value)} min={256} max={2160} step={8} />
- updateConfig("width", value)} min={256} max={3840} step={8} />
- updateConfig("num_frames", value)}
- min={config.workload_type === "game" ? 9 : 1}
- max={config.workload_type === "game" ? 1197 : 1200}
- step={config.workload_type === "game" ? 12 : 1}
- help={config.workload_type === "game" ? "Matrix Game requires 9 + 12k frames." : undefined}
- />
- updateConfig("fps", value)} min={1} max={60} />
-
- {recipeChanged && Custom values differ from the maintained recipe and may be unsupported.
} -
- updateConfig("num_inference_steps", value)}
- min={1}
- max={100}
- disabled={config.dmd_denoising_steps !== null}
- help={config.dmd_denoising_steps ? "This model uses the fixed schedule shown below." : "Number of denoising iterations."}
- />
- {config.workload_type !== "game" && (
- updateConfig("guidance_scale", value)}
- min={0.5}
- max={20}
- step={0.5}
- disabled={config.dmd_denoising_steps !== null}
- help={config.dmd_denoising_steps ? "DMD uses the embedded CFG scale instead." : "Values above 1 may add an unconditional forward pass."}
- />
- )}
- {config.guidance_scale_2 !== null && updateConfig("guidance_scale_2", value)} min={0.5} max={20} step={0.5} />}
- {config.workload_type !== "game" && updateConfig("embedded_cfg_scale", value)} min={0} max={20} step={0.5} />}
- {config.boundary_ratio !== null && updateConfig("boundary_ratio", value)} min={0} max={1} step={0.025} />}
- updateConfig("seed", value)} min={0} />
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- {config.dmd_denoising_steps && (
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- Fixed denoising schedule:
- )}
- {config.dmd_denoising_steps.join(", ")}
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- {availableBackends.map((backend) => (
-
- ))}
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- {config.attention_backend === "VIDEO_SPARSE_ATTN" && (
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- updateConfig("VSA_sparsity", value)} min={0} max={1} step={0.1} />
-
- )}
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