Instructions to use seedmanc/isna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use seedmanc/isna with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/anything-v5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("seedmanc/isna") prompt = "isna-style, breasts, plump, gradient background, rough lineart, 1 girl, serval, kemono friends, masterpiece, best quality, rough strokes, rough lines, vector, anime shading, simplistic, lo-fi" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!