Instructions to use Jonjew/EmmaWatsonv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/EmmaWatsonv1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/EmmaWatsonv1") prompt = "A closeup portrait photo of a woman with medium length hair who gazing directly at the camera with a neutral expression. She is wearing a multicolored knitted sweater against a dark background. Spotlight illumination. <lora:Emma_Watson-000052:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee