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
- Draw Things
- DiffusionBee
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]LoRA DreamBooth - charturnerhn
These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on the instance prompt "CharTurnerHN" using DreamBooth. You can find some example images in the following.
Test prompt: A character turnaround of a paperboy in a blue hat.

- Downloads last month
- 2
Model tree for Mousewrites/charturnerhn
Base model
stabilityai/stable-diffusion-2-1-base