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
- Xet hash:
- b2eb6728414a00e0a4d4a4808d42d411ce0e3da3a787eaa4dbfd18e038194182
- Size of remote file:
- 3.44 GB
- SHA256:
- c8377e65951cb50726c5daa68e8b7b9474132e947dbf17946d72447d9e4ee8b5
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