Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use briannlongzhao/49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/49 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("briannlongzhao/49", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <new1> bottle cap" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Custom Diffusion - briannlongzhao/49
These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of bottle cap using Custom Diffusion. You can find some example images in the following.
For more details on the training, please follow this link.
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Base model
stabilityai/stable-diffusion-2-1