Instructions to use NickKolok/FML-converted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NickKolok/FML-converted with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NickKolok/FML-converted", 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.bin from NickKolok/FML-converted: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/NickKolok/FML-converted/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://NickKolok/FML-converted/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/NickKolok/FML-converted/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- feaa5a696a98e93a9956e1801f96af48da0aeedc2f2a67b4d4e725d293cace8d
- Size of remote file:
- 335 MB
- SHA256:
- abc2982c61061f564b57194aa37031b5aa438bf044980409df102f9e04ed5bb7
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