Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use briannlongzhao/99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/99 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/99", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <new1> stinkhorn mushroom" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- ba34e3aad428096abb76ef585337ec8b44cf6102c5b676d70265ac33a491b8e5
- Size of remote file:
- 102 MB
- SHA256:
- d36d473a76f33ca4088052f36406c1644d67a3b4dfcdd33bb9a41ffec444981d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.