Instructions to use Koust1995/newmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Koust1995/newmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Koust1995/newmodel", 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
Download unet/diffusion_pytorch_model.bin from Koust1995/newmodel: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/Koust1995/newmodel/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Koust1995/newmodel/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Koust1995/newmodel/resolve/main/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- b071db971f47cb6f8553bab3f7f0bc51affa715de24a0abd4a2167493e97927f
- Size of remote file:
- 455 MB
- SHA256:
- b6529509485b5527960abc7386fade38499add3d99f0c7c6420fad128c504d6a
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