Instructions to use Yobal/MetaRB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yobal/MetaRB 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("Yobal/MetaRB") prompt = "MetaRB" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3ceaf0d63470973dd720c2db0a013d7f9443722e7755fdc9179b520e86759dea
- Size of remote file:
- 172 MB
- SHA256:
- bc27f4c00e8679138e1578d373c058f50238a035362ca41a0c89c99b9a849453
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