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:
- 97f3d3241180f01b8b65ea63a0eb4d90f49b5a6e3e23529831b178ce35699bf4
- Size of remote file:
- 195 MB
- SHA256:
- e9f2440f0d7a10046251d19396b238246a5dcc081bc4a5dd28476186291ec6ea
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