Instructions to use odingrok/odinGrok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use odingrok/odinGrok 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("odingrok/odinGrok") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7209cef057b84a0294bf43c45956518831bc619dea9d3f4419120854f4a6fb7b
- Size of remote file:
- 39.8 MB
- SHA256:
- 22e085f425af750ab2b1559a63694447665c0cccb1f48366fb0391ae400d7858
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