Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Classic Anime
DucHaiten
Instructions to use Yntec/DucHaitenClassicAnime768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DucHaitenClassicAnime768 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/DucHaitenClassicAnime768", 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 text_encoder/pytorch_model.bin from Yntec/DucHaitenClassicAnime768: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/DucHaitenClassicAnime768/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/DucHaitenClassicAnime768/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/DucHaitenClassicAnime768/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- efc8cb6ba0d1bfaa2045a0ab8cd392a5a3927f2aba6c604e77a83133ef4e1eeb
- Size of remote file:
- 492 MB
- SHA256:
- ae49c6e7c725bf8d8dda7981d156059561d0c042ef97937ade95a43586f2b139
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