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 text_encoder/pytorch_model.bin from NickKolok/FML-converted: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/NickKolok/FML-converted/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://NickKolok/FML-converted/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NickKolok/FML-converted/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 136f191ebb369a5b73480e6f076f93b977b70001e0a9b9d664e2a16a6ee10bd5
- Size of remote file:
- 492 MB
- SHA256:
- 1bad8bae54fbd782b3db1ae6d1d938c2a832db79648e1417ba95092e28a84d51
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