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:
- 709a22403f424bf4d60abb1ef05d67ccae1917cba7edc0d519f666a2de0e15b2
- Size of remote file:
- 4.27 GB
- SHA256:
- 6f7b14b19cd91c8060d261f90f4cc811099b9318b629b3ac26940b759f13f1c5
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