Instructions to use fancyfeast/big-asp-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fancyfeast/big-asp-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fancyfeast/big-asp-v2", 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 Settings
- Draw Things
- DiffusionBee
Are you interested in collaboration?
#2
by gluez - opened
I'm training nsfw image model in my part time lately. I'm an experienced dl engineer, can crawl data, fix/propose training method, write training script, deal with multi-node training and contribute GPU hour (I have a shared 8-A100 80G cluster). Let me know if you are interested.
I am interested.
fancyfeast changed discussion status to closed