Instructions to use AlexanderLab/CRCL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/CRCL 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/CRCL") prompt = "CRCL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cb1f509ecd5ebc1b1715c378f99ee426dc96167eb2e93ec03b10678159c01071
- Size of remote file:
- 344 MB
- SHA256:
- b5521149f88746268aae1684f84409cb9b8e5a03648d75da43d15527aa187c58
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