Instructions to use diffusers/lora-trained-xl-starbucks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/lora-trained-xl-starbucks with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-xl-base-0.9", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("diffusers/lora-trained-xl-starbucks") prompt = "a photo of sks logo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from diffusers/lora-trained-xl-starbucks: direct link, hf CLI and curl.
- Browser
- Download file 1.06 MB
-
https://huggingface.co/diffusers/lora-trained-xl-starbucks/resolve/main/image_0.png
- Command line
-
hf download hf://diffusers/lora-trained-xl-starbucks/image_0.png
-
curl -L -o image_0.png https://huggingface.co/diffusers/lora-trained-xl-starbucks/resolve/main/image_0.png
1.06 MB

- Xet hash:
- 870999888413fb0a80fc5d4b06438b9f18df50d1d7f61c9e07cc2dfda86d22fe
- Size of remote file:
- 1.06 MB
- SHA256:
- 0700433ec5260b849515ebb66e1609561e2ec2842bdaa8d3b962cc38ae9ccd6b
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