Upload lightx2v_Wan2.2-Distill-Loras_0.py with huggingface_hub

lightx2v_Wan2.2-Distill-Loras_0.py

@@ -4,8 +4,10 @@
 #     "numpy",
 #     "einops",
 #     "pandas",
+#     "matplotlib",
 #     "protobuf",
 #     "torch",
+#     "sentencepiece",
 #     "torchvision",
 #     "transformers",
 #     "timm",
@@ -18,10 +20,12 @@
 # ///
 
 try:
+    import torch
     from diffusers import DiffusionPipeline
     from diffusers.utils import load_image, export_to_video
     
-    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B")
+    # switch to "mps" for apple devices
+    pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda")
     pipe.load_lora_weights("lightx2v/Wan2.2-Distill-Loras")
     
     prompt = "A man with short gray hair plays a red electric guitar."
@@ -43,10 +47,12 @@ except Exception as e:
     with open('lightx2v_Wan2.2-Distill-Loras_0.txt', 'a', encoding='utf-8') as f:
         import traceback
         f.write('''```CODE: 
+import torch
 from diffusers import DiffusionPipeline
 from diffusers.utils import load_image, export_to_video
 
-pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B")
+# switch to "mps" for apple devices
+pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda")
 pipe.load_lora_weights("lightx2v/Wan2.2-Distill-Loras")
 
 prompt = "A man with short gray hair plays a red electric guitar."