Instructions to use jinofcoolnes/syntheticcmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jinofcoolnes/syntheticcmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jinofcoolnes/syntheticcmodel", 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 jinofcoolnes - opened
Add Diffusers weights converted from checkpoint comodel2.ckpt in revision d7e8c5b768fbfbb85b2b7cc5777b45351cdf1940
jinofcoolnes changed pull request status to merged