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app.py
CHANGED
@@ -10,8 +10,6 @@ from diffusers import WuerstchenDecoderPipeline, WuerstchenPriorPipeline
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from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS
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from previewer.modules import Previewer
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from compel import Compel
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from share_btn import community_icon_html, loading_icon_html, share_js
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-
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os.environ['TOKENIZERS_PARALLELISM'] = 'false'
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@@ -103,7 +101,7 @@ def generate(
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for _ in range(len(DEFAULT_STAGE_C_TIMESTEPS)):
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r = next(prior_output)
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if isinstance(r, list):
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yield r
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prior_output = r
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decoder_output = decoder_pipeline(
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@@ -116,7 +114,7 @@ def generate(
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generator=generator,
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output_type="pil",
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).images
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yield decoder_output
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examples = [
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@@ -142,10 +140,6 @@ with gr.Blocks(css="style.css") as demo:
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)
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run_button = gr.Button("Run", scale=0)
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result = gr.Gallery(label="Result", show_label=False)
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with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
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community_icon = gr.HTML(community_icon_html)
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loading_icon = gr.HTML(loading_icon_html)
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share_button = gr.Button("Share to community", elem_id="share-btn")
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with gr.Accordion("Advanced options", open=False):
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negative_prompt = gr.Text(
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label="Negative prompt",
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@@ -179,7 +173,7 @@ with gr.Blocks(css="style.css") as demo:
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num_images_per_prompt = gr.Slider(
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label="Number of Images",
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minimum=1,
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maximum=
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step=1,
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value=2,
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)
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@@ -209,7 +203,7 @@ with gr.Blocks(css="style.css") as demo:
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decoder_num_inference_steps = gr.Slider(
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label="Decoder Inference Steps",
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minimum=10,
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maximum=
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step=1,
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value=12,
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)
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@@ -245,7 +239,7 @@ with gr.Blocks(css="style.css") as demo:
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).then(
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fn=generate,
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inputs=inputs,
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outputs=
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api_name="run",
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)
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negative_prompt.submit(
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@@ -272,7 +266,6 @@ with gr.Blocks(css="style.css") as demo:
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outputs=result,
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api_name=False,
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)
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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from diffusers.pipelines.wuerstchen import DEFAULT_STAGE_C_TIMESTEPS
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from previewer.modules import Previewer
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from compel import Compel
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os.environ['TOKENIZERS_PARALLELISM'] = 'false'
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for _ in range(len(DEFAULT_STAGE_C_TIMESTEPS)):
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r = next(prior_output)
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if isinstance(r, list):
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yield r
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prior_output = r
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decoder_output = decoder_pipeline(
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generator=generator,
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output_type="pil",
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).images
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yield decoder_output
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examples = [
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)
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run_button = gr.Button("Run", scale=0)
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result = gr.Gallery(label="Result", show_label=False)
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with gr.Accordion("Advanced options", open=False):
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negative_prompt = gr.Text(
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label="Negative prompt",
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num_images_per_prompt = gr.Slider(
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label="Number of Images",
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minimum=1,
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maximum=6,
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step=1,
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value=2,
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)
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decoder_num_inference_steps = gr.Slider(
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label="Decoder Inference Steps",
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minimum=10,
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maximum=100,
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step=1,
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value=12,
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)
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).then(
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fn=generate,
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inputs=inputs,
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outputs=result,
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api_name="run",
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)
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negative_prompt.submit(
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outputs=result,
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api_name=False,
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)
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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