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:
- 4c8265413f75e8465693610c414a1e1f0d9899ec4d019bbe1fccbb321e548975
- Size of remote file:
- 563 Bytes
- SHA256:
- a84fb1fc02dc9adb8c44beeab2c46fbc41e10a07e99dad3fcd85350ca2bda9d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.