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:
- cb18e3ffa03dc321ca49b93ac6556664f8ad02e7a39667405d769923044f4f0f
- Size of remote file:
- 3.44 GB
- SHA256:
- ae2daddea367d88b177f7b870da589da99ad9f4195fca774db0b16ae06e4621a
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