Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
template:sd-lora
Instructions to use mitrick2/r2-sdxl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mitrick2/r2-sdxl-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("mitrick2/r2-sdxl-lora") prompt = "Rivian R2 SUV at the entrance to a forest" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 4a6ec08682b7f62d9e7e81aba0c913c5969bcfdfbe200f7308adefe58b98d5c0
- Size of remote file:
- 1.15 MB
- SHA256:
- c81d7ce0fae233e8eb01bb7e6a4c3bea7129a82be3ca00927180517003a8bdac
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