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", 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:
- 33e4adbb15457dfd6b9329580851ebd5c8447fcdab08e941425bcc6374640130
- Size of remote file:
- 492 MB
- SHA256:
- fd000ed3065648d556b48827cb788b5bdfbe356f387d7f572d26f9113bc6ef25
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