Instructions to use Linaqruf/hitokomoru-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Linaqruf/hitokomoru-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Linaqruf/hitokomoru-diffusion", 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 Linaqruf/hitokomoru-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Linaqruf/hitokomoru-diffusion/resolve/refs%2Fpr%2F4/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Linaqruf/hitokomoru-diffusion@refs/pr/4/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Linaqruf/hitokomoru-diffusion/resolve/refs%2Fpr%2F4/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- fa5153d9958b513003f23f9f6d12c967584f0a1f365bb60af468d2877bc00d17
- Size of remote file:
- 492 MB
- SHA256:
- 2c101a1aae1bfb4466920a366b2550e68b1088f7d6906b9e84d83d16ad772e51
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