Instructions to use nDimensional/Shaded-Retro-Style-Anime-with-Natural-Language-SDXL-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nDimensional/Shaded-Retro-Style-Anime-with-Natural-Language-SDXL-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nDimensional/Shaded-Retro-Style-Anime-with-Natural-Language-SDXL-LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5e3168c517f22990d89f93b56788ce14e03b471f52c7e0c498b0e3b256b5d798
- Size of remote file:
- 171 MB
- SHA256:
- fc3e4df423cca03063f67eac7d80655b8b4fb24162b1ff214e2c7ca7c416d2e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.