Instructions to use sarthak22/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sarthak22/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sarthak22/model", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from sarthak22/model: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/sarthak22/model/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://sarthak22/model/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/sarthak22/model/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 12c88b9daacdaa8a55630cb0f6199adc700757607db79a3ed953b21f00f43313
- Size of remote file:
- 3.44 GB
- SHA256:
- 30e9fb8474ad15e68c4b5c9cbf0a0a9235489d927be5abc1510c827883828996
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