How to use from the
Use from the
Diffusers library
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("harshith-7/lora-trained-sdxl-saina")

prompt = "A photo of [P] Saina Nehwal smiling brightly"
image = pipe(prompt).images[0]

SDXL LoRA DreamBooth - harshith-7/lora-trained-sdxl-saina

Prompt
A photo of [P] Saina Nehwal smiling brightly
Prompt
A photo of [P] Saina Nehwal smiling brightly
Prompt
A photo of [P] Saina Nehwal smiling brightly
Prompt
A photo of [P] Saina Nehwal smiling brightly

Model description

These are harshith-7/lora-trained-sdxl-saina LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.

The weights were trained using DreamBooth.

LoRA for the text encoder was enabled: False.

Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.

Trigger words

You should use a photo of [P] Saina Nehwal to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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