Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use aniketr/sdxl-lora-Rice_Dish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aniketr/sdxl-lora-Rice_Dish 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("aniketr/sdxl-lora-Rice_Dish") prompt = "a photo of a Rice_Dish" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- aedc4eafb05b7d36bee40dae760a4288ee0af9e813da7679774ad8f3272a85b4
- Size of remote file:
- 1.29 MB
- SHA256:
- 550f58ba7fcf76225d4ad25e48143ac440115f0e6b0243599d8b2eadac5e3fb0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.