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:
- d48368f23d3eb961affe8a2b03b1f62714c381ac0edfc6da7e52a5bf42a0a59f
- Size of remote file:
- 246 MB
- SHA256:
- 6e22c817f36764bd3a8b5dc4c2404bac04e5ca4c1e70aa67aa4d921d87cd731d
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