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:
- 06e7db9549c118cb7c746d28376d22c3e199f019e5da466648773b0da10c6a20
- Size of remote file:
- 492 MB
- SHA256:
- 8afbae4b82aa6daec1b90ce25fcf9ff89b81e393f90289581824ba2993b468dc
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