Instructions to use AlexanderLab/FCFRTR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/FCFRTR 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("AlexanderLab/FCFRTR") prompt = "FCFRTR" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f4f7ae497535335c56fdf331f9089cba8f714657c98b3fbc2d09532f66eab865
- Size of remote file:
- 344 MB
- SHA256:
- f04a0ef70661a26c3d08dc841c29ae010b08668d450547fc7880811701571221
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