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CarlosRiverMe/
SimpleTuner-stable-diffusion-3.5-large-ZukyTheDog

Name: SimpleTuner-stable-diffusion-3.5-large-ZukyTheDog
Availability: InStock

stabilityai/stable-diffusion-3.5-large

adapter

StableDiffusion3Pipeline

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SimpleTuner-stable-diffusion-3.5-large-ZukyTheDog

This is a custom-trained LoRA model for Stable Diffusion 3.5, focused on generating images of ZukyTheDog.

Model Description

This model is a LoRA fine-tune of Stable Diffusion 3.5, trained to generate high-quality images of ZukyTheDog. It can be used to create detailed and accurate representations in various styles and settings.

Base Model

Base Model: Stable Diffusion 3.5

How to Use

You can use this model in two ways:

1. Using Hugging Face Inference API

Simply input your prompt in the inference API tab above and click "Compute".

Example prompts:

"A photo of ZukyTheDog sitting in a garden"
"ZukyTheDog playing with a ball, high quality, detailed"
"Portrait of ZukyTheDog in a natural setting"

2. Using Python Code

python

from diffusers import StableDiffusion3Pipeline
import torch

pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16)

pipe.to("cuda")
pipe.load_lycoris_weights("CarlosRiverMe/SimpleTuner-stable-diffusion-3.5-large-ZukyTheDog", weight_name="pytorch_lora_weights_final.safetensors")

prompt = "A photo of ZukyTheDog sitting in a garden"
image = pipe(prompt).images[0]
image.save("generated_image.png")