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:
- 3a14f4ab21cd9aafd0a28fc0a64edd532a686e0c3d094f2f3aee1d16842826d4
- Size of remote file:
- 1.75 MB
- SHA256:
- 26edfe6bc8e774f7d3db6f94c343fa1aa30af70e029501627d40e757eac1f7cd
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