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
- Draw Things
- DiffusionBee
LoRA DreamBooth - sayakpaul/lora-trained-xl-starbucks
These are LoRA adaption weights for diffusers/stable-diffusion-xl-base-0.9. The weights were trained on a photo of sks logo using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
License
- Downloads last month
- 45
Model tree for diffusers/lora-trained-xl-starbucks
Base model
diffusers/stable-diffusion-xl-base-0.9


