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kaytoo2022
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66d409b
1
Parent(s):
e7793f5
Update app.py
Browse files
app.py
CHANGED
@@ -53,7 +53,7 @@ def run_lora(prompt, cfg_scale, steps, randomize_seed, seed, width, height, lora
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width=width,
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height=height,
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generator=generator,
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-
joint_attention_kwargs={"scale": lora_scale},
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).images[0]
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# Final update (100%)
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@@ -90,7 +90,7 @@ with gr.Blocks() as app:
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randomize_seed = gr.Checkbox(True, label="Randomize seed")
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=example_seed)
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lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=1, step=0.01, value=example_lora_scale)
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-
lora_scale_2 = gr.Slider(label="LoRA Scale (GhibSky)", minimum=0, maximum=1, step=0.01, value=
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with gr.Column(scale=1):
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result = gr.Image(label="Generated Image")
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gr.Markdown("Generate images using Flux and a text prompt.\nUse `[Just1nGu4n]` in the prompt to activate the LoRA adapter.\n[[non-commercial license, Flux.1 Dev](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)]")
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width=width,
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height=height,
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generator=generator,
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+
# joint_attention_kwargs={"scale": lora_scale},
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).images[0]
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# Final update (100%)
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randomize_seed = gr.Checkbox(True, label="Randomize seed")
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=example_seed)
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lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=1, step=0.01, value=example_lora_scale)
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lora_scale_2 = gr.Slider(label="LoRA Scale (GhibSky)", minimum=0, maximum=1, step=0.01, value=example_lora_scale_2)
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with gr.Column(scale=1):
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result = gr.Image(label="Generated Image")
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gr.Markdown("Generate images using Flux and a text prompt.\nUse `[Just1nGu4n]` in the prompt to activate the LoRA adapter.\n[[non-commercial license, Flux.1 Dev](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)]")
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