Instructions to use molinamarc/syntheva with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use molinamarc/syntheva with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("molinamarc/syntheva", 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
- Xet hash:
- aba2643faa2c2802146c91fc31fd1703590c4103076de1fc0eeae894f14b2ecb
- Size of remote file:
- 88.1 MB
- SHA256:
- b4fd87165c563cfaf491da4b9f3955394bdda9841ee1a05832467377fb3decc4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.