Instructions to use AlexanderLab/kzkhfc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/kzkhfc 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/kzkhfc") prompt = "kzkhfc" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dff9bfcf68a85ced105cff0ba26ac772f894543471cefcbb63bacee12133c92a
- Size of remote file:
- 344 MB
- SHA256:
- bc20ed95b39cc66f4df91a81db5e3d010c6e09dd9793542a57c31aa5f4263463
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