Instructions to use takuma104/lora-test-text-encoder-lora-target with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use takuma104/lora-test-text-encoder-lora-target 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("takuma104/lora-test-text-encoder-lora-target") 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 takuma104/lora-test-text-encoder-lora-target: direct link, hf CLI and curl.
- Browser
- Download file 391 kB
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https://huggingface.co/takuma104/lora-test-text-encoder-lora-target/resolve/main/image_2.png
- Command line
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hf download hf://takuma104/lora-test-text-encoder-lora-target/image_2.png
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curl -L -o image_2.png https://huggingface.co/takuma104/lora-test-text-encoder-lora-target/resolve/main/image_2.png
391 kB
