Instructions to use spaceinvader/text2fart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use spaceinvader/text2fart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("spaceinvader/text2fart", 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
Add Diffusers weights
#1
by spaceinvader - opened
Add Diffusers weights converted from checkpoint epoch=000317-pruned.ckpt in revision 8d68d9d6d12de70bad05347b34929f4ca5a1614b
spaceinvader changed pull request status to merged