Instructions to use sang-kyung/train_dog1_r1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sang-kyung/train_dog1_r1 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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sang-kyung/train_dog1_r1") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from sang-kyung/train_dog1_r1: direct link, hf CLI and curl.
- Browser
- Download file 452 kB
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https://huggingface.co/sang-kyung/train_dog1_r1/resolve/main/image_2.png
- Command line
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hf download hf://sang-kyung/train_dog1_r1/image_2.png
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curl -L -o image_2.png https://huggingface.co/sang-kyung/train_dog1_r1/resolve/main/image_2.png
452 kB
