Text-to-Image
Diffusers
English
stable-diffusion
stable-diffusion-xl
sdxl
SD-XL 0.9
tutorial
NathMath
Instructions to use NathMath/sdxl-0.9-usage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NathMath/sdxl-0.9-usage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NathMath/sdxl-0.9-usage", 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
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- The output quality of the stable-diffusion-xl-0.9 models depends on your prompts and parameter settings, so try to adjust them to achieve a better quality.
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- Need to be updated...
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- The output quality of the stable-diffusion-xl-0.9 models depends on your prompts and parameter settings, so try to adjust them to achieve a better quality.
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- This is not the final version of this repo. I will update the demos for further applications and advanced functions, so if you are interested, please like it.
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