Spaces:
Running
on
Zero
Running
on
Zero
clinteroni
commited on
Commit
•
05ef38f
1
Parent(s):
a69b645
Re-add spaces and tweak example
Browse files- app.py +19 -51
- requirements.txt +1 -1
app.py
CHANGED
@@ -4,12 +4,21 @@ import time
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import math
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import random
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import torch
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from diffusers import StableDiffusionXLInpaintPipeline
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from PIL import Image, ImageFilter
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max_64_bit_int = 2**63 - 1
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if torch.cuda.is_available():
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device = "cuda"
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floatType = torch.float16
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@@ -19,6 +28,8 @@ else:
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floatType = torch.float32
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variant = None
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pipe = StableDiffusionXLInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype = floatType, variant = variant)
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pipe = pipe.to(device)
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@@ -77,6 +88,7 @@ def check(
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):
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raise gr.Error("At least one border must be enlarged.")
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def uncrop(
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input_image,
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enlarge_top,
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@@ -208,7 +220,7 @@ def uncrop(
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process_width = math.floor(output_width * factor)
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process_height = math.floor(output_height * factor)
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limitation = " Due to technical
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else:
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process_width = output_width
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process_height = output_height
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@@ -272,19 +284,7 @@ def uncrop(
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with gr.Blocks() as interface:
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gr.HTML(
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<h1 style="text-align: center;">Outpainting demo</h1>
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<p style="text-align: center;">Enlarges the point of view of your image, freely, without account, without watermark, without installation, which can be downloaded</p>
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<br/>
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<br/>
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✨ Powered by <i>SDXL 1.0</i> artificial intellingence.
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<br/>
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💻 Your computer must <u>not</u> enter into standby mode.<br/>You can duplicate this space on a free account, it works on CPU and CUDA.<br/>
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<a href='https://huggingface.co/spaces/clinteroni/outpainting-with-differential-diffusion-demo?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'></a>
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<br/>
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⚖️ You can use, modify and share the generated images but not for commercial uses.
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"""
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)
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with gr.Row():
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with gr.Column():
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@@ -419,10 +419,10 @@ with gr.Blocks() as interface:
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examples = [
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[
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"./examples/Coucang.jpg",
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"A white Coucang, in a tree, ultrarealistic, realistic, photorealistic, 8k, bokeh",
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"Border, frame, painting, drawing, cartoon, anime, 3d, scribbling, smear, noise, blur, watermark",
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0,
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@@ -441,42 +441,10 @@ with gr.Blocks() as interface:
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gr.Markdown(
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"""
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## How to prompt your image
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To easily read your prompt, start with the subject, then describ the pose or action, then secondary elements, then the background, then the graphical style, then the image quality:
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```
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A Vietnamese woman, red clothes, walking, smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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You can use round brackets to increase the importance of a part:
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```
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A Vietnamese woman, (red clothes), walking, smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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You can use several levels of round brackets to even more increase the importance of a part:
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```
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A Vietnamese woman, ((red clothes)), (walking), smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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You can use number instead of several round brackets:
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```
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A Vietnamese woman, (red clothes:1.5), (walking), smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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You can do the same thing with square brackets to decrease the importance of a part:
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```
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A [Vietnamese] woman, (red clothes:1.5), (walking), smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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To easily read your negative prompt, organize it the same way as your prompt (not important for the AI):
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```
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man, boy, hat, running, tree, bicycle, forest, drawing, painting, cartoon, 3d, monochrome, blurry, noisy, bokeh
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```
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## Credit
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The [example image](https://commons.wikimedia.org/wiki/File:Coucang.jpg) is by Aprisonsan
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and licensed under CC-BY-SA 4.0 International.
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"""
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)
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interface.queue().launch()
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import math
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import random
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import torch
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import spaces
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from diffusers import StableDiffusionXLInpaintPipeline
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from PIL import Image, ImageFilter
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max_64_bit_int = 2**63 - 1
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DESCRIPTION="""
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<h1 style="text-align: center;">Outpainting demo</h1>
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<p style="text-align: center;">This uses code by Fabrice TIERCELIN</p>
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<br/>
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<a href='https://huggingface.co/spaces/clinteroni/outpainting-with-differential-diffusion-demo?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'></a>
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<br/>
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"""
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if torch.cuda.is_available():
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device = "cuda"
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floatType = torch.float16
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floatType = torch.float32
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variant = None
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DESCRIPTION+=f"<p>Running on {device}</p>"
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pipe = StableDiffusionXLInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype = floatType, variant = variant)
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pipe = pipe.to(device)
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):
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raise gr.Error("At least one border must be enlarged.")
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@spaces.GPU
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def uncrop(
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input_image,
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enlarge_top,
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process_width = math.floor(output_width * factor)
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process_height = math.floor(output_height * factor)
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limitation = " Due to technical limitations, the image has been downscaled and then upscaled.";
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else:
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process_width = output_width
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process_height = output_height
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with gr.Blocks() as interface:
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gr.HTML(
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DESCRIPTION
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)
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with gr.Row():
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with gr.Column():
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examples = [
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[
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"./examples/Coucang.jpg",
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0,
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"A white Coucang, in a tree, ultrarealistic, realistic, photorealistic, 8k, bokeh",
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"Border, frame, painting, drawing, cartoon, anime, 3d, scribbling, smear, noise, blur, watermark",
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0,
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gr.Markdown(
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"""
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## Credit
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The [example image](https://commons.wikimedia.org/wiki/File:Coucang.jpg) is by Aprisonsan
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and licensed under CC-BY-SA 4.0 International.
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"""
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)
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interface.queue().launch()
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requirements.txt
CHANGED
@@ -1,5 +1,5 @@
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accelerate
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-
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gradio
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numpy
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opencv-python
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accelerate
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diffusers
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gradio
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numpy
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opencv-python
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