Upload peteromallet_Qwen-Image-Edit-InScene_0.py with huggingface_hub
Browse files
peteromallet_Qwen-Image-Edit-InScene_0.py
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@@ -4,6 +4,8 @@
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# "numpy",
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# "einops",
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# "pandas",
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# "protobuf",
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# "torch",
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# "sentencepiece",
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@@ -19,10 +21,12 @@
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# ///
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try:
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from diffusers import DiffusionPipeline
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from diffusers.utils import load_image
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-
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pipe.load_lora_weights("peteromallet/Qwen-Image-Edit-InScene")
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prompt = "Turn this cat into a dog"
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@@ -43,10 +47,12 @@ except Exception as e:
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with open('peteromallet_Qwen-Image-Edit-InScene_0.txt', 'a', encoding='utf-8') as f:
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import traceback
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f.write('''```CODE:
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from diffusers import DiffusionPipeline
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from diffusers.utils import load_image
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-
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pipe.load_lora_weights("peteromallet/Qwen-Image-Edit-InScene")
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prompt = "Turn this cat into a dog"
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# "numpy",
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# "einops",
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# "pandas",
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# "matplotlib",
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# "paddleorc",
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# "protobuf",
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# "torch",
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# "sentencepiece",
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# ///
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try:
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import torch
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from diffusers import DiffusionPipeline
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from diffusers.utils import load_image
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# switch to "mps" for apple devices
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pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit", dtype=torch.bfloat16, device_map="cuda")
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pipe.load_lora_weights("peteromallet/Qwen-Image-Edit-InScene")
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prompt = "Turn this cat into a dog"
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with open('peteromallet_Qwen-Image-Edit-InScene_0.txt', 'a', encoding='utf-8') as f:
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import traceback
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f.write('''```CODE:
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import torch
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from diffusers import DiffusionPipeline
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from diffusers.utils import load_image
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# switch to "mps" for apple devices
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pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit", dtype=torch.bfloat16, device_map="cuda")
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pipe.load_lora_weights("peteromallet/Qwen-Image-Edit-InScene")
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prompt = "Turn this cat into a dog"
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