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:
- 3947313307b7b1b20d590b5d8d826fcde2e68536f28a58bf78a747b63c00da8b
- Size of remote file:
- 139 kB
- SHA256:
- 06e793de6f10f3d7157a1e4ed550b84715f7c6d558129f83233ebc4c018ded63
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