Instructions to use skellertor/default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use skellertor/default with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("skellertor/default", 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 vae/diffusion_pytorch_model-001.bin from skellertor/default: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/skellertor/default/resolve/main/vae/diffusion_pytorch_model-001.bin
- Command line
-
hf download hf://skellertor/default/vae/diffusion_pytorch_model-001.bin
-
curl -L -o diffusion_pytorch_model-001.bin https://huggingface.co/skellertor/default/resolve/main/vae/diffusion_pytorch_model-001.bin
3.44 GB
- Xet hash:
- 13decd85800204bdeadb54e03f31176551d36bffae2460a68693c5c0616599c0
- Size of remote file:
- 3.44 GB
- SHA256:
- e9df2370b0dd1db6cef8db249feadbf7bb185082f2113fa08a7d2176c014b55f
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