Instructions to use mastergruffly/profile with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mastergruffly/profile with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mastergruffly/profile", 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 mastergruffly/profile: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/mastergruffly/profile/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://mastergruffly/profile@refs/pr/2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/mastergruffly/profile/resolve/refs%2Fpr%2F2/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ad9c2b2e29e48aed4752ccab80a08a216e0dbd79f4dd3f289ee1113c7bd99097
- Size of remote file:
- 3.44 GB
- SHA256:
- b530ebe30d1e4a7d1e59c82e091a5109254e3ade3a933b7b65f02642810df1ba
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