Instructions to use LightningWorks/shiyangb1-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LightningWorks/shiyangb1-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LightningWorks/shiyangb1-diffusers", 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
Geoffrey McCabe
Amend commit to restore vae/diffusion_pytorch_model.safetensors to pointer state
cb86440 - Xet hash:
- 074fa717111e4bb763c44bc17692a4c23f9fcc8dda414e21e401b173799165d3
- Size of remote file:
- 1.72 GB
- SHA256:
- a35404d03ec8f977715a4d2a080ddf72e2144f2ee49bb1ee213258bc64f9cc87
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