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peft
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3
nodes.py
3
nodes.py
@ -58,7 +58,7 @@ from .cogvideox_fun.autoencoder_magvit import AutoencoderKLCogVideoX as Autoenco
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from .cogvideox_fun.utils import get_image_to_video_latent, get_video_to_video_latent, ASPECT_RATIO_512, get_closest_ratio, to_pil
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from .cogvideox_fun.pipeline_cogvideox_inpaint import CogVideoX_Fun_Pipeline_Inpaint
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from .cogvideox_fun.pipeline_cogvideox_control import CogVideoX_Fun_Pipeline_Control
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from .cogvideox_fun.lora_utils import merge_lora, load_lora_into_transformer
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from PIL import Image
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import numpy as np
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import json
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@ -346,6 +346,7 @@ class DownloadAndLoadCogVideoModel:
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transformer = transformer.to(dtype).to(offload_device)
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if lora is not None:
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from .cogvideox_fun.lora_utils import merge_lora, load_lora_into_transformer
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logging.info(f"Merging LoRA weights from {lora['path']} with strength {lora['strength']}")
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if "fun" in model.lower():
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transformer = merge_lora(transformer, lora["path"], lora["strength"])
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@ -1,4 +1,5 @@
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huggingface_hub
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diffusers>=0.30.3
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accelerate>=0.33.0
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einops
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einops
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peft
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