Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
waifu-diffusion
Instructions to use Linaqruf/hitokomoru-diffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Linaqruf/hitokomoru-diffusion-v2 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-v2", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, 1girl, brown hair, green eyes, colorful, autumn, cumulonimbus clouds, lighting, blue sky, falling leaves, garden" 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-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/Linaqruf/hitokomoru-diffusion-v2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Linaqruf/hitokomoru-diffusion-v2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Linaqruf/hitokomoru-diffusion-v2/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- ca381e6aec50cc0f75bcc6a14f4cb543b1c4827a962cd8e79fb6b6aa7ffe3807
- Size of remote file:
- 1.36 GB
- SHA256:
- 6c08c4ae2d5df373c726e2b6785e874df250e1dca4026ff56d7c4b094551d8a8
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