Instructions to use zarxces/dierik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zarxces/dierik 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("zarxces/dierik") prompt = "dierik" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2855f8a168c7c6f2d1022a46cafb08aa51658e1c4fb6bcc9c6a6f8d3f12fe0c7
- Size of remote file:
- 172 MB
- SHA256:
- c0fd1e7cefc3cf3868d512fddf3a8b205f25649a7a0447ecffadbb9788a92cc7
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