Instructions to use ringhyacinth/nail-set-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ringhyacinth/nail-set-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ringhyacinth/nail-set-diffuser", 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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@@ -10,6 +10,12 @@ This is the fine-tuned Stable Diffusion model trained on images from Nail Sets.
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Use the tokens {Nail Set} in your prompts for the effect.
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__Stable Diffusion fine tuned on Nail Set by [Weekend](https://weibo.com/u/5982308498) and [Hyacinth](https://twitter.com/ring_hyacinth).__
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Put in a text prompt and generate your own nail set!
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Use the tokens {Nail Set} in your prompts for the effect.
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## Gradio
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We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Nail-set-Diffusion:
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[](https://huggingface.co/spaces/ringhyacinth/Nail-Diffuser)
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__Stable Diffusion fine tuned on Nail Set by [Weekend](https://weibo.com/u/5982308498) and [Hyacinth](https://twitter.com/ring_hyacinth).__
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Put in a text prompt and generate your own nail set!
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