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
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Model tree for Oysiyl/sdxl-lora-android-google-toy
Base model
stabilityai/stable-diffusion-xl-base-1.0