Instructions to use Benevolent/GGIFJ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Benevolent/GGIFJ 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("Benevolent/GGIFJ") prompt = "2d, masterpiece, best quality, anime, highly detailed, full body, 1girl, solo, gura_hoodie, blue hoodie, two side up, shark hair ornament, sharp teeth, :d, shark tail, barefoot, dynamic pose, ocean <lora:gura-10:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee