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Update app.py
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app.py
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@@ -2,7 +2,7 @@ import torch
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from diffusers import UniPCMultistepScheduler
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from diffusers import WanPipeline, AutoencoderKLWan
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from diffusers.models.transformers.transformer_wan import WanTransformer3DModel
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from para_attn.first_block_cache.diffusers_adapters import apply_cache_on_pipe
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from huggingface_hub import hf_hub_download
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from PIL import Image
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import numpy as np
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@@ -150,7 +150,7 @@ def generate(prompt, negative_prompt, width, height, num_inference_steps, option
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print(f"Setting weights for this run: {list(zip(ALL_ADAPTER_NAMES, adapter_weights))}")
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pipe.set_adapters(ALL_ADAPTER_NAMES, adapter_weights=adapter_weights)
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apply_cache_on_pipe(pipe)
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# --- Step 3: Run inference ---
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output = pipe(
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from diffusers import UniPCMultistepScheduler
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from diffusers import WanPipeline, AutoencoderKLWan
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from diffusers.models.transformers.transformer_wan import WanTransformer3DModel
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# from para_attn.first_block_cache.diffusers_adapters import apply_cache_on_pipe
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from huggingface_hub import hf_hub_download
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from PIL import Image
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import numpy as np
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print(f"Setting weights for this run: {list(zip(ALL_ADAPTER_NAMES, adapter_weights))}")
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pipe.set_adapters(ALL_ADAPTER_NAMES, adapter_weights=adapter_weights)
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# apply_cache_on_pipe(pipe)
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# --- Step 3: Run inference ---
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output = pipe(
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