wehub-resource-sync
49 lines
1.0 KiB
YAML
49 lines
1.0 KiB
YAML
# Passed directly to WanDiffusionWrapper(**model_kwargs).
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model_kwargs:
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model_name: Wan2.2-TI2V-5B
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timestep_shift: 5.0
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num_frame_per_block: 8
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local_attn_size: 32
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use_ema: false
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output_folder: videos/longlive2
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num_samples: 1
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save_latents_only: false
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data:
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data_path: /path/to/longlive2/inference_prompts
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# Latent tensor shape [B, F, C, H, W]. F is also the default number of
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# generated latent frames unless num_output_frames is provided.
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image_or_video_shape:
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- 1
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- 128
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- 48
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- 44
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- 80
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inference:
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sampling_steps: 4
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sink_size: 8
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guidance_scale: 1.0
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multi_shot_sink: true
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multi_shot_rope_offset: 8
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streaming_vae: false
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async_vae: false
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vae_type: wan # wan, mg_lightvae, mg_lightvae_v2
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vae_device: "cuda:2"
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checkpoints:
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generator_ckpt: /path/to/longlive2/generator_checkpoint.pt
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lora_ckpt: /path/to/longlive2/lora_checkpoint.pt
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# Presence of this section enables LoRA inference; remove it for full-generator inference.
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adapter:
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type: lora
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rank: 128
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alpha: 128
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dropout: 0.0
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verbose: true
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logging:
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seed: 0
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