Instructions to use 8li/fableframe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8li/fableframe 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("8li/fableframe") prompt = "dreamlikeview" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 836c7b7ff1711bb41fbf423ad2d874b3fb3e851aeaf1971359407c07bf5fd132
- Size of remote file:
- 89.7 MB
- SHA256:
- d6042326cdd49ead6bb569e29d7ea2d01475a840c1695d02623c72ed3d1d5df4
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