Instructions to use MaZehua/dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaZehua/dog 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MaZehua/dog") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRA DreamBooth - MaZehua/dog
These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were trained on a photo of sks dog using DreamBooth. You can find some example images in the following.
- Downloads last month
- 6
Model tree for MaZehua/dog
Base model
stabilityai/stable-diffusion-2


