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 checkpoint-500/optimizer.bin from diffusers/lora-trained-xl-starbucks: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/diffusers/lora-trained-xl-starbucks/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://diffusers/lora-trained-xl-starbucks/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/diffusers/lora-trained-xl-starbucks/resolve/main/checkpoint-500/optimizer.bin
47.4 MB
- Xet hash:
- 9fc182753d6568c828bf670b7e543437100b605e716d55e85c894ec87c6000ca
- Size of remote file:
- 47.4 MB
- SHA256:
- 14247b257dccf7a5f2194d7a0303652eead6bcf70644d2ac5ba0657cfcb2888f
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