Instructions to use dominic1021/alianawatson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dominic1021/alianawatson with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dominic1021/alianawatson", dtype=torch.bfloat16, device_map="cuda") prompt = "alianawatson woman" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1fbaf5aa9b63ba909fa8c7333ad1e60bbf5605a86130483a469e803ab4999cf9
- Size of remote file:
- 47.4 MB
- SHA256:
- 59c47643f0cb653455c362576725187d222a0857cf151f621d6a636ff973c184
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