Instructions to use anhvth5/sd15-lora-fio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anhvth5/sd15-lora-fio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("anhvth5/sd15-lora-fio") prompt = "a photo of FIO, game character" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from anhvth5/sd15-lora-fio: direct link, hf CLI and curl.
- Browser
- Download file 516 kB
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https://huggingface.co/anhvth5/sd15-lora-fio/resolve/main/image_2.png
- Command line
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hf download hf://anhvth5/sd15-lora-fio/image_2.png
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curl -L -o image_2.png https://huggingface.co/anhvth5/sd15-lora-fio/resolve/main/image_2.png
516 kB
