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·
0e9ddbd
1
Parent(s):
8bf8763
changing layout of the demo
Browse files
app.py
CHANGED
@@ -103,7 +103,22 @@ def predict(prompt, weights, seed, scale=7.5, steps=50):
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app = gr.Blocks()
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@@ -116,9 +131,10 @@ with app:
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)
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gr.Markdown(
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"""
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### **<p align='center'>Demo created by
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"""
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with gr.Row():
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with gr.Column():
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@@ -165,7 +181,7 @@ with app:
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gr.Markdown(
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"""
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\n Demo created by:
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"""
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MESSAGE = '''
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### Welcome to Our Negative Prompt Implementation!
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Our method helps you achieve two amazing things:
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1. Edit your generated images iteratively without damaging any important concepts.
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2. Generate any view of objects that the original Stable Diffusion implementation couldn't produce. For example, you can generate a "peacock, back view" by using "peacock, front view" as the negative prompt. Compare our method to [Stable Diffusion](https://huggingface.co/spaces/stabilityai/stable-diffusion).
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Unlike the original implementation, our method ensures that everything provided as the main prompt remains intact even when there is an overlap between the positive and negative prompts.
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We've also integrated the idea of robust view generation in text-to-3D to avoid the multihead problem. Check out our work on this at [perp-neg.github.io](https://perp-neg.github.io/).
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To use our demo, simply enter your main prompt first, followed by a set of positive and negative prompts separated by "|". When only one prompt is provided and the weight of that prompt is 1, it is identical to using Stable Diffusion. We provided those as examples for the sake of comparison of our algorithm to Stable Diffusion. Put the weight of main prompt as 1.
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Use our demo to create some amazing and unique images!
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'''
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app = gr.Blocks()
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)
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gr.Markdown(
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"""
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### **<p align='center'>Demo created by Reza Armandpour and Huangjie Zheng</p>**
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"""
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gr.Markdown(MESSAGE)
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with gr.Row():
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with gr.Column():
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gr.Markdown(
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"""
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\n Demo created by: Reza Armandpour and Huangjie Zheng</a>.
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"""
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)
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