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Update app.py
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app.py
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@@ -30,7 +30,7 @@ import diffusers
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# init
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dtype = torch.bfloat16
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device = "cuda"
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print(device)
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base_model = "black-forest-labs/FLUX.1-dev"
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@@ -40,7 +40,7 @@ base_model = "black-forest-labs/FLUX.1-dev"
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txt2img_pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype)
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txt2img_pipe = txt2img_pipe.to(device)
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txt2img_pipe.__class__.load_lora_into_transformer = classmethod(load_lora_into_transformer)
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MAX_SEED = 2**32 - 1
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# init
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dtype = torch.bfloat16
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device = "cuda:0"
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print(device)
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base_model = "black-forest-labs/FLUX.1-dev"
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txt2img_pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype)
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txt2img_pipe = txt2img_pipe.to(device)
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# txt2img_pipe.__class__.load_lora_into_transformer = classmethod(load_lora_into_transformer)
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MAX_SEED = 2**32 - 1
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