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Runtime error
Runtime error
Commit
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784095e
1
Parent(s):
4877230
Fix UI
Browse files
app.py
CHANGED
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@@ -6,6 +6,7 @@ from diffusers import StableDiffusionDepth2ImgPipeline
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from pathlib import Path
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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dept2img = StableDiffusionDepth2ImgPipeline.from_pretrained(
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"stabilityai/stable-diffusion-2-depth",
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torch_dtype=torch.float16,
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@@ -38,6 +39,9 @@ def pad_image(input_image):
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def predict(input_image, prompt, negative_prompt, steps, num_samples, scale, seed, strength, depth_image=None):
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depth = None
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if depth_image is not None:
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depth_image = pad_image(depth_image)
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@@ -66,20 +70,48 @@ def predict(input_image, prompt, negative_prompt, steps, num_samples, scale, see
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block = gr.Blocks().queue()
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with block:
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with gr.Box():
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<
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<br />
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<h1 style="font-weight: 900; font-size: 2.5rem;">
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Depth2Img Web UI
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</h1>
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<br />
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<
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with gr.Row():
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with gr.Column():
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@@ -112,7 +144,7 @@ with block:
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False).style(
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grid=[2], height="auto")
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if
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gr.Examples(
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examples=[
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["./examples/original_iso.png", "hogwarts castle",
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from pathlib import Path
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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is_gpu_associated = torch.cuda.is_available()
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dept2img = StableDiffusionDepth2ImgPipeline.from_pretrained(
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"stabilityai/stable-diffusion-2-depth",
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torch_dtype=torch.float16,
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def predict(input_image, prompt, negative_prompt, steps, num_samples, scale, seed, strength, depth_image=None):
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if not is_gpu_associated:
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raise gr.Error("Please associate a T4 GPU for this Space")
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torch.cuda.empty_cache()
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depth = None
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if depth_image is not None:
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depth_image = pad_image(depth_image)
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block = gr.Blocks().queue()
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with block:
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with gr.Box():
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if is_gpu_associated:
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top_description = gr.HTML(f'''
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<div style="text-align: center; max-width: 650px; margin: 0 auto;">
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<div>
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<img class="logo" src="file/mirage.png" alt="Mirage Logo"
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style="margin: auto; max-width: 7rem;">
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<br />
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<h1 style="font-weight: 900; font-size: 2.5rem;">
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Depth2Img Web UI
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</h1>
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<br />
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<a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/MirageML/depth2img?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a>
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</div>
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<br />
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<br />
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<p style="margin-bottom: 10px; font-size: 94%">
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Create variations of an image while preserving shape and depth!
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</p>
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</div>
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''')
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else:
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top_description = gr.HTML(f'''
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<div style="text-align: center; max-width: 650px; margin: 0 auto;">
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<div>
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<img class="logo" src="file/mirage.png" alt="Mirage Logo"
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style="margin: auto; max-width: 7rem;">
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<br />
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<h1 style="font-weight: 900; font-size: 2.5rem;">
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Depth2Img Web UI
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</h1>
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<br />
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<a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/MirageML/depth2img?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a>
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</div>
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<br />
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<br />
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<p style="margin-bottom: 10px; font-size: 94%">
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Create variations of an image while preserving shape and depth!
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</p>
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<br />
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<p>There's only one step left before you can run the app: <a href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}/settings" style="text-decoration: underline" target="_blank">attribute a <b>T4 GPU</b> to it (via the Settings tab)</a> and run the training below. You will be billed by the minute from when you activate the GPU until when it is turned it off.</p>
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</div>
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''')
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with gr.Row():
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with gr.Column():
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False).style(
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grid=[2], height="auto")
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if is_gpu_associated:
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gr.Examples(
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examples=[
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["./examples/original_iso.png", "hogwarts castle",
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