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_2.png from diffusers/lora-trained-xl-starbucks: direct link, hf CLI and curl.
- Browser
- Download file 1.15 MB
-
https://huggingface.co/diffusers/lora-trained-xl-starbucks/resolve/refs%2Fpr%2F2/image_2.png
- Command line
-
hf download hf://diffusers/lora-trained-xl-starbucks@refs/pr/2/image_2.png
-
curl -L -o image_2.png https://huggingface.co/diffusers/lora-trained-xl-starbucks/resolve/refs%2Fpr%2F2/image_2.png
1.15 MB

- Xet hash:
- 1169a6a0206d6e27e33c84471c6eec09724296f575722871a1f31e865cdeb83e
- Size of remote file:
- 1.15 MB
- SHA256:
- 9c4334e1e5de635584ec236273828820618c14b773dfd0530ae96c413de24d4c
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