Spaces:
Running
on
Zero
Running
on
Zero
This PR allows to choose the output format
#1
by
Fabrice-TIERCELIN
- opened
app.py
CHANGED
@@ -16,7 +16,7 @@ MAX_IMAGE_SIZE = 2048
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@spaces.GPU()
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def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=8, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator().manual_seed(seed)
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@@ -28,7 +28,7 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidan
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generator = generator,
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guidance_scale=guidance_scale
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).images[0]
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return image, seed
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examples = [
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"a tiny astronaut hatching from an egg on the moon",
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@@ -50,16 +50,15 @@ with gr.Blocks(css=css, delete_cache=(4000, 4000)) as demo:
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Merge by [Sayak Paul](https://huggingface.co/sayakpaul) of 2 of the 12B param rectified flow transformers [FLUX.1 [dev]](https://huggingface.co/black-forest-labs/FLUX.1-dev) and [FLUX.1 [schnell]](https://huggingface.co/black-forest-labs/FLUX.1-schnell) by [Black Forest Labs](https://blackforestlabs.ai/)
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""")
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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@@ -73,16 +72,6 @@ Merge by [Sayak Paul](https://huggingface.co/sayakpaul) of 2 of the 12B param re
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with gr.Accordion("Advanced Settings", open=False):
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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width = gr.Slider(
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@@ -101,15 +90,25 @@ Merge by [Sayak Paul](https://huggingface.co/sayakpaul) of 2 of the 12B param re
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value=1024,
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)
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gr.Examples(
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examples = examples,
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@@ -122,7 +121,7 @@ Merge by [Sayak Paul](https://huggingface.co/sayakpaul) of 2 of the 12B param re
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gr.on(
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triggers=[run_button.click, prompt.submit],
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fn = infer,
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inputs = [prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
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outputs = [result, seed]
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)
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@spaces.GPU()
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def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=8, output_format="png", progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator().manual_seed(seed)
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generator = generator,
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guidance_scale=guidance_scale
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).images[0]
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return gr.update(format = output_format, value = image), seed
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examples = [
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"a tiny astronaut hatching from an egg on the moon",
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Merge by [Sayak Paul](https://huggingface.co/sayakpaul) of 2 of the 12B param rectified flow transformers [FLUX.1 [dev]](https://huggingface.co/black-forest-labs/FLUX.1-dev) and [FLUX.1 [schnell]](https://huggingface.co/black-forest-labs/FLUX.1-schnell) by [Black Forest Labs](https://blackforestlabs.ai/)
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""")
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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run_button = gr.Button("Run", scale=0, variant="primary")
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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with gr.Accordion("Advanced Settings", open=False):
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with gr.Row():
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width = gr.Slider(
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value=1024,
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)
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guidance_scale = gr.Slider(
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label="Guidance Scale",
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minimum=1,
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maximum=15,
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step=0.1,
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value=3.5,
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)
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output_format = gr.Radio([["*.png", "png"], ["*.webp", "webp"], ["*.jpeg", "jpeg"], ["*.gif", "gif"], ["*.bmp", "bmp"]], label="Image format for result", info="File extention", value="png", interactive=True)
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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gr.Examples(
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examples = examples,
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gr.on(
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triggers=[run_button.click, prompt.submit],
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fn = infer,
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inputs = [prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, output_format],
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outputs = [result, seed]
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)
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