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Update app.py
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app.py
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@@ -8,12 +8,20 @@ import random
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import spaces
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# Constants
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BASE_MODEL = "black-forest-labs/FLUX.1-dev"
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LORA_MODEL = "MegaTronX/SuicideGirl-FLUX" # Replace with your LoRA path
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MAX_SEED = np.iinfo(np.int32).max
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# Initialize model and scheduler
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if torch.cuda.is_available():
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transformer = FluxTransformer2DModel.from_single_file(
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"https://huggingface.co/MegaTronX/SuicideGirl-FLUX/blob/main/SuicideGirls.safetensors",
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torch_dtype=torch.bfloat16
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@@ -30,6 +38,8 @@ if torch.cuda.is_available():
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# Load and apply LoRA weights
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pipe.load_lora_weights(LORA_MODEL)
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@spaces.GPU
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def generate_image(
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import spaces
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# Constants
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#BASE_MODEL = "black-forest-labs/FLUX.1-dev"
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#LORA_MODEL = "MegaTronX/SuicideGirl-FLUX" # Replace with your LoRA path
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MAX_SEED = np.iinfo(np.int32).max
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pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
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pipe.load_lora_weights("MegaTronX/SuicideGirl-FLUX", weight_name="SuicideGirls.safetensors")
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pipe.fuse_lora(lora_scale=0.8)
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pipe.to("cuda")
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# Initialize model and scheduler
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'''if torch.cuda.is_available():
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transformer = FluxTransformer2DModel.from_single_file(
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"https://huggingface.co/MegaTronX/SuicideGirl-FLUX/blob/main/SuicideGirls.safetensors",
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torch_dtype=torch.bfloat16
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# Load and apply LoRA weights
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pipe.load_lora_weights(LORA_MODEL)
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'''
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@spaces.GPU
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def generate_image(
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