Instructions to use simbolo-ai/bagan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use simbolo-ai/bagan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("simbolo-ai/bagan", dtype=torch.bfloat16, device_map="cuda") prompt = "bagan, by Vincent van gogh, highly detailed, highly illustration" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7b09079c9edb7d869a460b29bc13bf9f58e31b3e8901a1e2377f932820ae5af8
- Size of remote file:
- 3.44 GB
- SHA256:
- 4682864fe874bf5808f95cb193861ce41674a7cf3acd4add1f57e0382ca98673
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