Instructions to use AlexanderLab/CCHIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/CCHIR 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/CCHIR") prompt = "CCHIR" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 784cc3c46d55796632ab8d00f963766dbbe6cabe1c45b3acb41b44fe18473193
- Size of remote file:
- 344 MB
- SHA256:
- e6d3fc04c5d6f805223cfa3993808968254484f8101d3be9efc07477e600b133
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