# FastH3 V2 eight-forward video+audio on one DGX Spark. # Download the complete release checkpoint as described in # docs/getting_started/installation/spark_performance.md. # # FP4 attention needs fastvideo-kernel built for 12.1a and eager DiT inference. # A missing extension is an error. Set h3_vsa_fp4.enabled to false for BF16 VSA. # The NVFP4 encoder and lightweight VAE ship in the same repository. # # FASTVIDEO_H3_VSA_FP4=1 FASTVIDEO_MINIMAX_H3_FUSIONS=all FASTVIDEO_NVFP4_MM_BACKEND=cudnn FASTVIDEO_NVFP4_MM_ROW_SPLIT=table \ # FASTVIDEO_H3_VAE_TILE_BATCH=12 FASTVIDEO_H3_VAE_INT8_OVERLAY=0 \ # FASTVIDEO_VSA_TRITON=1 FASTVIDEO_VSA_PTX_BLACKWELL=0 FASTVIDEO_FA4=0 \ # FASTVIDEO_ATTENTION_BACKEND=VIDEO_SPARSE_ATTN_H3 FASTVIDEO_STAGE_LOGGING=1 \ # fastvideo generate --config examples/inference/basic/basic_fasth3_spark_v2_nvfp4.yaml generator: model_path: FastVideo/FastVideo-FastH3-8-Step-V2-NVFP4-Consumer engine: num_gpus: 1 use_fsdp_inference: false quantization: transformer_quant: NVFP4 layer_profile: h3_dit_vsa parallelism: tp_size: 1 sp_size: 1 offload: dit: false dit_layerwise: false text_encoder: false image_encoder: false vae: false pin_cpu_memory: false lazy_module_load: false compile: enabled: false vae_enabled: true pipeline: workload_type: t2v vae_tiling: true experimental: attention_backend: VIDEO_SPARSE_ATTN_H3 h3_vsa_fp4: enabled: true VSA_sparsity: 0.8 VSA_tile_size: 64 h3_sequential_load: false inference_torch_compile: false vae_parallel_decode: false video_decode_backend: h3-vae request: prompt: A quiet pottery studio with a potter finishing a bowl at the wheel. negative_prompt: "" sampling: seed: 1234 height: 480 width: 832 num_frames: 124 fps: 24 num_inference_steps: 9 # nine sigma points, eight DiT forwards guidance_scale: 1.0 batch_cfg: false output: output_path: outputs/fasth3_spark_v2_nvfp4/ save_video: true return_frames: false