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", 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
Commit History
-
Upload sample_2.png with huggingface_hub
Verified signature3d1c68a -
Upload sample_1.png with huggingface_hub
Verified signature86fba9f -
Upload sample_0.png with huggingface_hub
Verified signaturec68a42a -
End of training
Verified signatureb7ae5c7 -
initial commit
Verified signature8cba147