Instructions to use zacrafidi/testinglora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zacrafidi/testinglora 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("zacrafidi/testinglora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b19a25f259ff078643c3334568c4fc191a794ee771df9e5e1c515f8bbc671666
- Size of remote file:
- 172 MB
- SHA256:
- 83912d0a3196cca7067d9e6242866fed66f17677a388c2bd38544747b061e201
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