Instructions to use Falah/fighter-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/fighter-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Falah/fighter-style", torch_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:
- ed0792554a4bc330c905a3c00be658a4b67ecd27777c5b26bf3b8edaabe7c58d
- Size of remote file:
- 246 MB
- SHA256:
- baeaaabb0aafc3e3cc9f141dbfc181af1dbcf0e1289adc8bc269c22b8ea06a8f
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