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Update app.py
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app.py
CHANGED
@@ -158,9 +158,6 @@ for model_name in model_list:
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def txt2img(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
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if width == 0 or height == 0:
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raise gr.Error("width&height should be > 0")
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result = prodia_client.generate({
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"prompt": prompt,
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@@ -185,9 +182,6 @@ def txt2img(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, he
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def img2img(input_image, denoising, prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
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if input_image is None:
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raise gr.Error("Please add an image to run img2img")
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if width == 0 or height == 0:
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raise gr.Error("width&height should be > 0")
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result = prodia_client.transform({
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"imageData": image_to_base64(input_image),
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@@ -246,8 +240,8 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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with gr.Column(scale=1):
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width = gr.Slider(label="Width", maximum=1024, value=512, step=8)
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height = gr.Slider(label="Height", maximum=1024, value=512, step=8)
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with gr.Column(scale=1):
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batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
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def txt2img(prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
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result = prodia_client.generate({
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"prompt": prompt,
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def img2img(input_image, denoising, prompt, negative_prompt, model, steps, sampler, cfg_scale, width, height, seed):
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if input_image is None:
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raise gr.Error("Please add an image to run img2img")
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result = prodia_client.transform({
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"imageData": image_to_base64(input_image),
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with gr.Row():
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with gr.Column(scale=1):
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width = gr.Slider(label="Width", maximum=1024, minimum=128, value=512, step=8)
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height = gr.Slider(label="Height", maximum=1024, minimum=128, value=512, step=8)
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with gr.Column(scale=1):
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batch_size = gr.Slider(label="Batch Size", maximum=1, value=1)
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