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
Download vae/diffusion_pytorch_model.bin from Yntec/HitenDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/HitenDiffusion/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/HitenDiffusion/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/HitenDiffusion/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 5fa9227be8a70a92cb5a1e2e484ce485e4d799a9e8e3c4fab7cfa3b3b834708a
- Size of remote file:
- 335 MB
- SHA256:
- eba8b2b66b92a2e46ac68c5e462e6e5a95c4c1c064ea39b056c75071c9f7e4a5
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