Instructions to use EnD-Diffusers/SplatterPunkXL-ALPHA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/SplatterPunkXL-ALPHA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/SplatterPunkXL-ALPHA", 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
- Xet hash:
- f8bc34fde56af8425cb53a9618e8f009e5298a770f107ba3a8adad71daa35e9e
- Size of remote file:
- 5.14 GB
- SHA256:
- b4644d694d10c198544b3ccfeb7a2cc5bb477b1e6e38b5c4448cc9657cf0fa96
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