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
Download text_encoder/pytorch_model.bin from simbolo-ai/bagan: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/simbolo-ai/bagan/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://simbolo-ai/bagan/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/simbolo-ai/bagan/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 8f8ab2a5a628e5fb2c7da5c1fc54fb42f24cc2a952eed301db64e6bd722a7913
- Size of remote file:
- 492 MB
- SHA256:
- d33c2eab50337a6895a687d9785c77afb116ab62589d29ee7a30f31d07398323
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