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 unet/diffusion_pytorch_model.bin from Yntec/HitenDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Yntec/HitenDiffusion/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/HitenDiffusion@refs/pr/1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/HitenDiffusion/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 200dcd7eb93ef4ae319838551bb19649e62a3d4d0716800a7dc0ba03e411426d
- Size of remote file:
- 3.44 GB
- SHA256:
- f93a5b9735f5099d865623560da467cd7510baf1e3e1d0b6fae04aa5b48ca9dd
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