Instructions to use shantanudave/shantanuimagessept10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shantanudave/shantanuimagessept10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shantanudave/shantanuimagessept10", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a sdaveshantanu" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 102de7ad2dc5a9fa65c7e62099665580eaf6776274933ee4c18702d8606d6add
- Size of remote file:
- 23.4 MB
- SHA256:
- 50cb8fa1f4eea51a90e1984519890c2fd941ccd3b3c98dfc4778abc7addd5d4e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.