Instructions to use Lowkey17/cas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lowkey17/cas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lowkey17/cas", 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 Lowkey17/cas: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Lowkey17/cas/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Lowkey17/cas/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Lowkey17/cas/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- bbafb393c063dd29772c8d830a4fb55b61a1780afb14af2a58dee4b24153fd6d
- Size of remote file:
- 3.44 GB
- SHA256:
- e3c4933dce3295d8723b69b306537fc2ee44f17c5f9198b672522df0726ce953
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