Instructions to use fortbonnitar/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fortbonnitar/Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fortbonnitar/Model", 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 checkpoint-500/optimizer.bin from fortbonnitar/Model: direct link, hf CLI and curl.
- Browser
- Download file 910 MB
-
https://huggingface.co/fortbonnitar/Model/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://fortbonnitar/Model/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/fortbonnitar/Model/resolve/main/checkpoint-500/optimizer.bin
910 MB
- Xet hash:
- bf73b828f21a3f2e6b49d2c4994fd05427896b7412765bf3aac2e984fbbce7e3
- Size of remote file:
- 910 MB
- SHA256:
- 1ba04e1554f21606038fb2b9390899054bc91742f76affc1ef17f3866c86bf1a
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