Instructions to use Speedso/Badwingm_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Speedso/Badwingm_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/furrytoonmix", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Speedso/Badwingm_style") prompt = "masterpiece, best quality, amazing quality, absurdres, badwingm, eevee, brown fur, bushy tail, fluffy, blush, sitting, feral, quadruped, solo, front view, smile, paws, looking at viewer," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee