Instructions to use najonajo/lora-trained-xl-mogan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use najonajo/lora-trained-xl-mogan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("najonajo/lora-trained-xl-mogan") prompt = "a photo of sks mmmmmogan" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 23b88633f52a723a1d78c690493350160a540da50cd17b9c2f45bac41fbc57ff
- Size of remote file:
- 23.6 MB
- SHA256:
- 7a65b946780ab0586859bec9fc3bbd4a91c08b430eca6b89f416ebf7b6b697a9
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