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


