Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
andite
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/HitenDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/HitenDiffusion 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/HitenDiffusion", 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:
- 3832c159f3e25f4582d3dddd81cc27fbfbc3824aeacb817b6bd1e81e5f6af4c5
- Size of remote file:
- 2.13 GB
- SHA256:
- 51c9a2f5395f4931e6e4a43e7c1b23bff5bedfc3e43025f4d9a661ba3852c0cc
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