Instructions to use SPO-Diffusion-Models/SPO-SDXL_4k-p_10ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SPO-Diffusion-Models/SPO-SDXL_4k-p_10ep with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SPO-Diffusion-Models/SPO-SDXL_4k-p_10ep", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#5
by pandycakes - opened
- README.md +8 -0
- images/example_sz7rid2os.png +3 -0
README.md
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language:
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- en
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pipeline_tag: text-to-image
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---
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# Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
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language:
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- en
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pipeline_tag: text-to-image
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widget:
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- text: >-
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photorealism, sexy curby dark cambodian woman in long elegant over-the-top
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massive unique red and orange and yellow and gold dress and hairpiece and
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headpiece, detailed background
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output:
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url: images/example_sz7rid2os.png
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---
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# Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
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images/example_sz7rid2os.png
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Git LFS Details
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