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", torch_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
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README.md
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@@ -114,9 +114,7 @@ The CreativeML OpenRAIL License specifies:
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[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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## What's next?
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- Adding example images for `Scenery`
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## Credit
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- [γγγγγ/Hitokomoru](https://www.pixiv.net/en/users/30837811) for Datasets
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- Just for my part
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[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
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## What's next?
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- Hitokomoru Diffusion V2 soon, will added scenery datasets from MidJourney I hope it's working, because I'm getting bored the result is always simple background
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## Credit
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- [γγγγγ/Hitokomoru](https://www.pixiv.net/en/users/30837811) for Datasets
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- Just for my part
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