Instructions to use stablediffusionapi/baka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/baka with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/baka", 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
- Draw Things
- DiffusionBee
- Xet hash:
- f21c4eac1fb5f6b27465476ab4db2dbfa80e686d70f25a34551c1372026129ca
- Size of remote file:
- 335 MB
- SHA256:
- 9694bc5a7cb0be41e058243af4bdb22e5414dee1df1391da6ac51d546b6bca30
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