ModelsLab LoRA DreamBooth Training - stablediffusionapi/my-stablediffusion-lora-5611

Model description

These are stablediffusionapi/my-stablediffusion-lora-5611 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained using Modelslab. LoRA for the text encoder was enabled: False. Special VAE used for training: None.

Use it with the 🧨 diffusers library

!pip install -q transformers accelerate peft diffusers
from diffusers import DiffusionPipeline
import torch

pipe_id = "stabilityai/stable-diffusion-xl-base-1.0"
pipe = DiffusionPipeline.from_pretrained(pipe_id, torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("stablediffusionapi/my-stablediffusion-lora-5611", weight_name="pytorch_lora_weights.safetensors", adapter_name="abc")
prompt = "abc of a hacker with a hoodie"
lora_scale = 0.9
image = pipe(
    prompt,
    num_inference_steps=30,
    cross_attention_kwargs={"scale": lora_scale},
    generator=torch.manual_seed(0)
).images[0]
image

Trigger words

You should use material, mahogany, floor, interior, living room, to trigger the image generation.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.