Instructions to use GaumlessGraham/Inner1730_10Real with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaumlessGraham/Inner1730_10Real with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GaumlessGraham/Inner1730_10Real", 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 599/unet/diffusion_pytorch_model.bin from GaumlessGraham/Inner1730_10Real: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/599/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://GaumlessGraham/Inner1730_10Real/599/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/GaumlessGraham/Inner1730_10Real/resolve/main/599/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 8a2bd022c71bf76c08305068bdc99528da734cbc783902e00453ea983a3f1c1d
- Size of remote file:
- 455 MB
- SHA256:
- 33785a0e5a4dc61b0e6b6d20fe39963bd1b2cd07422ec19bf11e1075399d06eb
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