Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
BumblingOrange
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Hiten with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Hiten with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Hiten", torch_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
- Xet hash:
- 7188ab641ab43228b4571518c7c005eed056f492ff28238f4a7821fe1a8bae4f
- Size of remote file:
- 1.72 GB
- SHA256:
- 23d8a4101d3ca6fce25f918e824d093ad8c004f76c54e4fbe8008f5516c63ec4
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