Instructions to use Mrsadeeqnextgenhub/tiny-helios-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mrsadeeqnextgenhub/tiny-helios-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mrsadeeqnextgenhub/tiny-helios-pipe", 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:
- ba8ae4ccf409173428fc4f0ff3aedbda74eebad3c29091ec3571878b19999c34
- Size of remote file:
- 70.4 kB
- SHA256:
- 856d9bd4f93b184c443db03f8f3b878259a784c4903123f318d2326651a73910
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