Instructions to use stablediffusionapi/anythingv3-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/anythingv3-fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/anythingv3-fp16", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 166843919be97773131753f23f14730539b9cbfdfeb143e40e979eea4bb5774f
- Size of remote file:
- 167 MB
- SHA256:
- 7310bb828162a6fd1643ad26c6e945323e2a9034cb663c208fb9824f7cd99e4f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.