Instructions to use AiAF/Diffusers_bigLust_v17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Diffusers_bigLust_v17 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiAF/Diffusers_bigLust_v17", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 41c815bc7d070ea81b55fe16a996e24778c132c3dbef9058e16ec27c1170c652
- Size of remote file:
- 1.39 GB
- SHA256:
- fc3d2555b6d39f2c009f9248625ead36aaed1153dcf6b3a7d9e5fbb116760591
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.