Instructions to use Mousewrites/charturnerhn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mousewrites/charturnerhn 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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mousewrites/charturnerhn") prompt = "CharTurnerHN" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 974fc2ebd0d6d1c8794d2b11b74f4c7b9a1437f6536d3809362c903d9312f027
- Size of remote file:
- 3.42 MB
- SHA256:
- 64877cef1d5b31ae0ec6909afc7c44ae0e84f528ee3dc26ec22f20bae96a76a2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.