Instructions to use ampp/N64_style_sd1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ampp/N64_style_sd1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ampp/N64_style_sd1.5") prompt = "<lora:N64 Lowpoly-000001:1> n64-lowpoly style, gigachad portrait, closeup, 3d <lora:gigachadDiffusionLora_v69:0.8>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K