Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use AdamLucek/sdxl-base-1.0-greenchair-dreambooth-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamLucek/sdxl-base-1.0-greenchair-dreambooth-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AdamLucek/sdxl-base-1.0-greenchair-dreambooth-lora") prompt = "A photo of sks chair in an apartment" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 211676a001668b55067ef8d41ba6dc9fcaeed091af48651977354ecdd54c0ce3
- Size of remote file:
- 29.9 MB
- SHA256:
- f6164ade8b98d87c6745c790ba21dd7fbd21813dec943778c1486547e0b8065f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.