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
- Draw Things
- DiffusionBee
- Xet hash:
- 10c478b9a3f535ef106c517bb29beed4da01290440bf1561c65aba85accd9afd
- Size of remote file:
- 335 MB
- SHA256:
- e63a9e25de3dac34d784011fa21e21447d123b6cc3b0c48bd8f3514c479a67c5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.