Update app.py
Browse files
app.py
CHANGED
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@@ -455,6 +455,7 @@ def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, progress)
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print("Generating image...")
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pipe.to("cuda")
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generator = torch.Generator(device="cuda").manual_seed(seed)
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with calculateDuration("Generating image"):
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# Generate image
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for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images(
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@@ -470,7 +471,8 @@ def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, progress)
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):
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print("Image generated successfully.") # Debugging statement
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yield img
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@spaces.GPU(duration=75)
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def run_lora(prompt, cfg_scale, steps, selected_indices, lora_scale_1, lora_scale_2, lora_scale_3, lora_scale_4, randomize_seed, seed, width, height, loras_state, image_input=None, progress=gr.Progress(track_tqdm=True)):
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print("Generating image...")
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pipe.to("cuda")
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generator = torch.Generator(device="cuda").manual_seed(seed)
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final_image = None # Initialize final_image
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with calculateDuration("Generating image"):
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# Generate image
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for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images(
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):
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print("Image generated successfully.") # Debugging statement
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yield img
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final_image = img # Update final_image with the current image
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return final_image
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@spaces.GPU(duration=75)
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def run_lora(prompt, cfg_scale, steps, selected_indices, lora_scale_1, lora_scale_2, lora_scale_3, lora_scale_4, randomize_seed, seed, width, height, loras_state, image_input=None, progress=gr.Progress(track_tqdm=True)):
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