Instructions to use ffleck/rickfenderclefiger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ffleck/rickfenderclefiger 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ffleck/rickfenderclefiger") prompt = "Rickfenderclefiger walk in the desert" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 43be8b8e3473223d6dfdf4076725e3f0b8b434a8f7f1551209ddbe9f011acbad
- Size of remote file:
- 68.1 MB
- SHA256:
- 04a90caac340310e45e3262b9c60f98192438db38f4fe6567880243bdc5831a9
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