Instructions to use accidentallall/werewolves-1400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use accidentallall/werewolves-1400 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("accidentallall/werewolves-1400") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5d61fc69607baf498e2d5878aecae399e9936169b230baf73d9ef838d0756a3d
- Size of remote file:
- 89.7 MB
- SHA256:
- afb908ac591ab77acac38903f3962cbb943759415de6ca765e2206239b3a6cf9
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