Instructions to use aimalias/jj49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/jj49 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/jj49") prompt = "TOK" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- be586f8e59633be7d6cd0640649d4501f97245f9eb29b413967762197da612b3
- Size of remote file:
- 195 MB
- SHA256:
- 72f89dd3ea08a9bd634c895259c31d2920aca226e76383639e702fc170d9a54f
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