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
36 lines
999 B
YAML
36 lines
999 B
YAML
# Run with:
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# fastvideo generate --config scripts/inference/inference_wan.yaml
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generator:
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model_path: Wan-AI/Wan2.1-T2V-1.3B-Diffusers
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engine:
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num_gpus: 1
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parallelism:
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tp_size: 1
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sp_size: 1
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offload:
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dit: false
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vae: false
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pin_cpu_memory: false
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pipeline:
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flow_shift: 8.0
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request:
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negative_prompt: >-
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Bright tones, overexposed, static, blurred details, subtitles, style,
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works, paintings, images, static, overall gray, worst quality, low
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quality, JPEG compression residue, ugly, incomplete, extra fingers,
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poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen
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limbs, fused fingers, still picture, messy background, three legs, many
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people in the background, walking backwards
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inputs:
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prompt_path: assets/prompt.txt
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sampling:
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seed: 1024
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num_frames: 77
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height: 480
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width: 832
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fps: 16
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num_inference_steps: 50
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guidance_scale: 6.0
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output:
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output_path: outputs_video/
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