Instructions to use ShadoWxShinigamI/mjstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShadoWxShinigamI/mjstyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShadoWxShinigamI/mjstyle", 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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model (#7)
Browse files- Adding `safetensors` variant of this model (798e440f361e1479d4e3f836fa5b2b4d9a5f8cfe)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
mjstyle.safetensors
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version https://git-lfs.github.com/spec/v1
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safety_checker/model.safetensors
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text_encoder/model.safetensors
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unet/diffusion_pytorch_model.safetensors
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vae/diffusion_pytorch_model.safetensors
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