Instructions to use ekato/FujiiKaze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ekato/FujiiKaze with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ekato/FujiiKaze") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- Fujii Kaze.zip +3 -0
- images/1000018412.jpg +3 -0
Fujii Kaze.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c9a07b716908793a9381c5f2f8b5ff4cc2097224c1019569cf41d25d6eade97
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size 80464845
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images/1000018412.jpg
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