Instructions to use Fragiskos/Jay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fragiskos/Jay 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("Fragiskos/Jay") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- Jay (1).zip +3 -0
- images/download.jpg +3 -0
Jay (1).zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:df5ff8157809393a69e4af307310bddfe01299eaa6ad57db961292169a8c1a46
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size 92120602
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images/download.jpg
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Git LFS Details
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