Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
DucHaiten
Anime
Instructions to use Yntec/DucHaitenAnime768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DucHaitenAnime768 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/DucHaitenAnime768", 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:
- 46536e9c969f70c0736272c6dd605d5fcc951b45347f53457c09d8cce211a069
- Size of remote file:
- 246 MB
- SHA256:
- e7ffc2f937e480b77a11e8ec0861e683697304d9a04e101489a7c0ad0965074a
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