Instructions to use slobers/blaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use slobers/blaster with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("slobers/blaster", 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:
- 059ac638b116b8d8f3ac41a192f00388b7b1e3dc4459af0f391792bb2d9265da
- Size of remote file:
- 168 MB
- SHA256:
- c915f72b723e7b7d303f111ba3447c2cfb6750dd77f20745ed9818164273c4f6
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