joyfox
/

Wan2.1-Fight-LoRA

template:diffusion-lora

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starsfriday commited on Jul 17, 2025

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0b7032e

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1 Parent(s): fbdc517

Update README.md

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README.md +2 -2

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@@ -83,13 +83,13 @@ from diffusers import AutoencoderKLWan, WanImageToVideoPipeline
 from transformers import CLIPVisionModel
 import numpy as np
-model_id = "Wan-AI/Wan2.1-I2V-14B-480P-Diffusers"
 image_encoder = CLIPVisionModel.from_pretrained(model_id, subfolder="image_encoder", torch_dtype=torch.float32)
 vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
 pipe = WanImageToVideoPipeline.from_pretrained(model_id, vae=vae, image_encoder=image_encoder, torch_dtype=torch.bfloat16)
 pipe.to("cuda")
-pipe.load_lora_weights("Remade/Squish")
 pipe.enable_model_cpu_offload() #for low-vram environments

 from transformers import CLIPVisionModel
 import numpy as np
+model_id = "Wan-AI/Wan2.1-I2V-14B-720P-Diffusers"
 image_encoder = CLIPVisionModel.from_pretrained(model_id, subfolder="image_encoder", torch_dtype=torch.float32)
 vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
 pipe = WanImageToVideoPipeline.from_pretrained(model_id, vae=vae, image_encoder=image_encoder, torch_dtype=torch.bfloat16)
 pipe.to("cuda")
+pipe.load_lora_weights("valiantcat/Wan2.1-Fight-LoRA")
 pipe.enable_model_cpu_offload() #for low-vram environments