Instructions to use 51Smith/slsmith with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 51Smith/slsmith with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("51Smith/slsmith", 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:
- 7a20902f656d49906656210046fabaf5e634649723ea77fd5f634488a1f07bd0
- Size of remote file:
- 492 MB
- SHA256:
- 1e54b94998a1ae5a542a6a9b3ed6b18aeb481f9a46c71ec4e5b141e5cab950f4
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