Instructions to use NoCrypt/SomethingV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NoCrypt/SomethingV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NoCrypt/SomethingV2", 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
- Draw Things
- DiffusionBee
Add Space badge to model card
Browse files
README.md
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example_title: example 1boy
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library_name: diffusers
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<center><img src="https://huggingface.co/NoCrypt/SomethingV2/resolve/main/imgs/banner.webp" width="95%"/></center>
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<center><h1><b>SomethingV2</b></h1></center>
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<p align="center">Welcome to SomethingV2 - an anime latent diffusion model. This model is intended to produce vibrant but soft anime style images. </p>
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example_title: example 1boy
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library_name: diffusers
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[](https://huggingface.co/spaces/NoCrypt/SomethingV2)
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<center><img src="https://huggingface.co/NoCrypt/SomethingV2/resolve/main/imgs/banner.webp" width="95%"/></center>
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<center><h1><b>SomethingV2</b></h1></center>
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<p align="center">Welcome to SomethingV2 - an anime latent diffusion model. This model is intended to produce vibrant but soft anime style images. </p>
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