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add randomized seed option (#3)
Browse files- add randomized seed option (1e32b52544ac501fbf171a55abb15fa5fc976d1b)
Co-authored-by: Linoy Tsaban <[email protected]>
app.py
CHANGED
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@@ -17,12 +17,17 @@ pipeline.load_lora_weights(
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hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"), adapter_name="hyper-sd"
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)
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pipeline.set_adapters(["hyper-sd"], adapter_weights=[0.125])
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-
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#####################################
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# The function for our Gradio app #
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#####################################
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@spaces.GPU(duration=120)
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def generate(prompt, input_image, progress=gr.Progress(track_tqdm=True)):
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"""
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Runs the Flux Control pipeline for editing the given `input_image`
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with the specified `prompt`. The pipeline is on CPU by default.
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@@ -35,7 +40,7 @@ def generate(prompt, input_image, progress=gr.Progress(track_tqdm=True)):
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max_sequence_length=512,
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height=input_image.height,
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width=input_image.width,
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generator=torch.manual_seed(
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).images[0]
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return output_image
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@@ -65,14 +70,19 @@ def launch_app():
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label="Your edit prompt",
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placeholder="e.g. 'Turn the color of the mushroom to blue'"
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)
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generate_button = gr.Button("Generate")
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output_image = gr.Image(label="Edited Image")
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# Connect button to function
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generate_button.click(
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fn=generate,
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inputs=[prompt, input_image],
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outputs=[output_image],
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)
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hf_hub_download("ByteDance/Hyper-SD", "Hyper-FLUX.1-dev-8steps-lora.safetensors"), adapter_name="hyper-sd"
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)
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pipeline.set_adapters(["hyper-sd"], adapter_weights=[0.125])
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MAX_SEED = np.iinfo(np.int32).max
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def get_seed(randomize_seed: bool, seed: int) -> int:
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"""
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Get the random seed.
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"""
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return np.random.randint(0, MAX_SEED) if randomize_seed else seed
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#####################################
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# The function for our Gradio app #
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#####################################
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@spaces.GPU(duration=120)
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def generate(prompt, input_image, seed, progress=gr.Progress(track_tqdm=True)):
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"""
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Runs the Flux Control pipeline for editing the given `input_image`
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with the specified `prompt`. The pipeline is on CPU by default.
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max_sequence_length=512,
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height=input_image.height,
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width=input_image.width,
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generator=torch.manual_seed(seed)
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).images[0]
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return output_image
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label="Your edit prompt",
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placeholder="e.g. 'Turn the color of the mushroom to blue'"
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)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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generate_button = gr.Button("Generate")
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output_image = gr.Image(label="Edited Image")
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# Connect button to function
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generate_button.click(
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get_seed,
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inputs=[randomize_seed, seed],
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outputs=[seed],
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).then(
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fn=generate,
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inputs=[prompt, input_image, seed],
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outputs=[output_image],
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)
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