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:
- 691b7147442ff0b3e42615e31729581e4dbec7429b38652e953b876247f96d60
- Size of remote file:
- 1.72 GB
- SHA256:
- 07c3505dc989bec0705743f5663a06d5d62231c397abde5e6b63fcb8ad3893b2
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