Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-v1-5
stable-diffusion-v1-5-diffusers
template:sd-lora
Instructions to use jayavibhav/jdarc-lora-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jayavibhav/jdarc-lora-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jayavibhav/jdarc-lora-1", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of jeannedarc" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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