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stablediffusionapi/
my-stablediffusion-lora-4519

diffusers

autotrain

stable-diffusion-xl

stable-diffusion-xl-diffusers

text-to-image

lora

sd-lora

stabilityai/stable-diffusion-xl-base-1.0

adapter

openrail++

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ModelsLab LoRA DreamBooth Training - stablediffusionapi/my-stablediffusion-lora-4519

Model description

These are stablediffusionapi/my-stablediffusion-lora-4519 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-4519", 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 photo of Messi men to trigger the image generation.

Download model

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