[Community Pipeline] DemoFusion: Democratising High-Resolution Image Generation With No $$$ #6022
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. |
sayakpaul
reviewed
Dec 3, 2023
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| image_grid(images, save_path="./outputs/") | ||
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sayakpaul
reviewed
Dec 3, 2023
sayakpaul
approved these changes
Dec 3, 2023
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Let's make sure the code quality test passes. You can run |
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Let me know once the PR is ready for another review. |
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Very cool! |
patrickvonplaten
approved these changes
Dec 4, 2023
Co-authored-by: Sayak Paul <[email protected]>
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Hi @sayakpaul, thanks for your help! I have passed the quality test. Can you give another review when you have time. |
sayakpaul
approved these changes
Dec 4, 2023
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Awesome work and implementation. Kudos! |
AmericanPresidentJimmyCarter
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Apr 26, 2024
…Generation With No $$$ (huggingface#6022) * Add files via upload * Update README.md * Update pipeline_demofusion_sdxl.py * Update pipeline_demofusion_sdxl.py * Update examples/community/README.md Co-authored-by: Sayak Paul <[email protected]> --------- Co-authored-by: Sayak Paul <[email protected]>
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What does this PR do?
This PR is the official implementation of DemoFusion -- a tuning-free high-resolution generation framework that enables users to generate 2K, 3K, and even 4K images with the official SDXL model.
DemoFusion works in a progressive manner. The user only needs to enter the desired image size as if using the SDXL pipeline, and a series of generated results can be obtained -- from SDXL's original resolution to the target resolution.
The process doesn't require a lot of memory -- a RTX 3090 GPU is more than enough to handle images at 4k or higher resolutions. But it will take longer inference time.
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Who can review?
@sayakpaul @yiyixuxu @pcuenca