Instructions to use DRDELATV/pigsColab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DRDELATV/pigsColab with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DRDELATV/pigsColab", 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 DRDELATV/pigsColab: direct link, hf CLI and curl.
- Browser
- Download file 1.16 GB
-
https://huggingface.co/DRDELATV/pigsColab/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://DRDELATV/pigsColab/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/DRDELATV/pigsColab/resolve/main/unet/diffusion_pytorch_model.bin
1.16 GB
- Xet hash:
- 3a6bf796ac645582a70192c0e451f9f84374957a772d8bc7bc456ca08e37fa63
- Size of remote file:
- 1.16 GB
- SHA256:
- 9e9ba1f99dd80b58a7c39a72e963a74ad5575ee9819eabd44bfcf195a8f8efdd
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