Instructions to use superdiff/superdiff-sdxl-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use superdiff/superdiff-sdxl-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("superdiff/superdiff-sdxl-v1-0", 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
- Draw Things
- DiffusionBee
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- `guidance_scale` [optional: default=7.5]: scale for classifier-free guidance
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- `height`, `width` [optional: default=1024]: height and width of generated images (we recommend leaving it at 1024!)
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## Citation
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- `guidance_scale` [optional: default=7.5]: scale for classifier-free guidance
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- `height`, `width` [optional: default=1024]: height and width of generated images (we recommend leaving it at 1024!)
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Note: for generating realistic photos with SDXL, we recommend using a prompt such as `"teapot, high quality photography"`.
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## Citation
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