Instructions to use tzvc/sd-coby with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tzvc/sd-coby with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tzvc/sd-coby", dtype=torch.bfloat16, device_map="cuda") prompt = "sdcoby" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ed039eb9a9fb4045e5e3379bfeeb1b4c7193fc933cf235bafb7cfbb6270fce73
- Size of remote file:
- 2.13 GB
- SHA256:
- 322dd1e24fb31edce26638621a38e663e89d577929824d59db4a9e9a8c3da0a2
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