Instructions to use chebao/123123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chebao/123123 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chebao/123123", dtype=torch.bfloat16, device_map="cuda") prompt = "chebao" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9fe3b7be0aca8e41a96d26678435e250d0346bb640fdcb471cca179b730524a6
- Size of remote file:
- 3.44 GB
- SHA256:
- a6c18c3a08cbeef1065066c74812b5df8c1a9e648d64d05ddd5409f7226735d8
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