Instructions to use tzvc/2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tzvc/2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c 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/2cabda5b-4e53-40e9-8fcf-cdba5ea5bd6c", dtype=torch.bfloat16, device_map="cuda") prompt = "a portrait of [V]" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 7f5e9740b4048100b1055248d97b6fbedeb2a818e7a7472d28bc529fc4a13e03
- Size of remote file:
- 130 kB
- SHA256:
- 14e371ff8f07d2956fa6ca4c725f42e304de0d9af471dd16d00a3517d8f6dcc3
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