Oysiyl/sdxl-lora-android-google-toy

Model card

Finetuned from SDXL using LoRA.

W&B run.

Inference

from diffusers import AutoPipelineForText2Image
import torch

pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
pipe.load_lora_weights("Oysiyl/sdxl-lora-android-google-toy", weights="pytorch_lora_weights.safetensors")
pipe = pipe.to("cuda")

g = torch.Generator(device="cuda").manual_seed(42)

image = pipe("An android toy near Eiffel tower",
             num_inference_steps=50,
             num_images_per_prompt=1,
             guidance_scale=7.5,
             temperature=1.0,
             generator=g).images[0]  

image.save("android_toy_sdxl.png")

Output