Davids048andClaude Opus 5.5
ecb15bf9e0
Every key that repository YAML configs, Python examples, the Dreamverse backend, and tests passed through pipeline.experimental has a typed GeneratorConfig field, so they use those fields instead: engine.attention, engine.compile.regional, pipeline.flow_shift, pipeline.embedded_cfg_scale, pipeline.dmd_denoising_steps, pipeline.components.lora_nickname, pipeline.minimax_h3, and pipeline.longcat. No repository config outside the tests uses pipeline.experimental any more. The flat FastVideoArgs keywords that each migrated YAML file and each basic_fasth3.py option set produces match the previous ones. The golden snapshots of the two Hunyuan scripts now record embedded_cfg_scale and flow_shift as floats (6.0 instead of 6), because the typed fields are floats. The guidance tensor is built as float32 either way. The golden case untyped_experimental_keys is renamed attention_precision_and_flow_shift with identical content, and keys_without_typed_fields covers keywords that still go to pipeline.experimental. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
51 lines
1.0 KiB
YAML
51 lines
1.0 KiB
YAML
# OpenAI-compatible FastH3 full-checkpoint server.
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generator:
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model_path: FastVideo/FastVideo-Minimax-FastH3-Preview-v0.2
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engine:
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num_gpus: 4
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use_fsdp_inference: false
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parallelism:
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tp_size: 1
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sp_size: 4
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offload:
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dit: false
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dit_layerwise: false
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text_encoder: true
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image_encoder: true
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vae: true
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pin_cpu_memory: true
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compile:
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enabled: false
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vae_enabled: false
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regional: false
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attention:
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backend: VIDEO_SPARSE_ATTN_H3
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vsa_sparsity: 0.9
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vsa_tile_size: 64
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pipeline:
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workload_type: t2v
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minimax_h3:
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vae_parallel_decode: true
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vae_parallel_decode_strategy: gather
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server:
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host: 0.0.0.0
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port: 8000
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output_dir: outputs/openai_fasth3
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served_model_name: fasth3
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default_request:
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negative_prompt: ""
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sampling:
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height: 768
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width: 1344
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num_frames: 124
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fps: 24
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num_inference_steps: 5
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guidance_scale: 1.0
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batch_cfg: false
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seed: 1000
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output:
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return_frames: false
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