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| import gradio as gr | |
| import numpy as np | |
| import random | |
| import torch | |
| from diffusers import StableDiffusionXLPipeline, AutoencoderKL | |
| from utils import randomize_seed_fn | |
| MAX_SEED = np.iinfo(np.int32).max | |
| def model_load(): | |
| vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16) | |
| pipe = StableDiffusionXLPipeline.from_pretrained( | |
| "stabilityai/stable-diffusion-xl-base-1.0", vae=vae, torch_dtype=torch.float16 | |
| ) | |
| # load lora weight | |
| pipe.load_lora_weights("jjuun/vivid_color_style") | |
| return pipe.to('cuda') | |
| def sdxl_process(seed, prompt, additional_prompt, negative_prompt, num_steps, guidance_scale): | |
| pipe = model_load() | |
| generator = torch.Generator("cuda") | |
| generator.manual_seed(seed) | |
| special_prompt = 'jjj, scratch art style' | |
| prompt = f'{special_prompt}, {prompt}, with a black background' | |
| output = pipe(prompt, additional_prompt, negative_prompt=negative_prompt, num_inference_steps=num_steps, guidance_scale=guidance_scale, | |
| generator=generator).images[0] | |
| return output | |
| title = "🌈 Colorful illustration" | |
| description_en = "🚀 How to use: please make sure to include 'a colorful' in prompt and click Run button!" | |
| def create_demo(): | |
| with gr.Blocks() as demo: | |
| gr.Markdown(f"<h1 style='text-align: center;'>{title}</h1>") | |
| gr.Markdown(f"<h3 style='text-align: center'>{description_en}</h3>") | |
| with gr.Row(): | |
| with gr.Column(): | |
| prompt = gr.Textbox(label="Prompt") | |
| run_button = gr.Button("Run") | |
| with gr.Accordion("Advanced options", open=False): | |
| num_steps = gr.Slider(label="Number of steps", minimum=1, maximum=100, value=20, step=1) | |
| guidance_scale = gr.Slider(label="Guidance scale", minimum=0.1, maximum=30.0, value=9.0, step=0.1) | |
| seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0) | |
| randomize_seed = gr.Checkbox(label="Randomize seed", value=True) | |
| a_prompt = gr.Textbox(label="Additional prompt", value="") | |
| n_prompt = gr.Textbox( | |
| label="Negative prompt", | |
| value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", | |
| ) | |
| with gr.Column(): | |
| result = gr.Image(label="Output") | |
| result_seed = gr.Textbox(label="Used seed") | |
| gr.Examples( | |
| examples= [["a colorful lion", "20", "9", "0", "", "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "examples/lion.png"], | |
| ["a colorful messi", "20", "9", "0", "", "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "examples/messi.png"]], | |
| inputs = [prompt, num_steps, guidance_scale, seed, a_prompt, n_prompt, result] | |
| ) | |
| inputs = [ | |
| seed, | |
| prompt, | |
| a_prompt, | |
| n_prompt, | |
| num_steps, | |
| guidance_scale, | |
| ] | |
| run_button.click( | |
| fn=randomize_seed_fn, | |
| inputs=[seed, randomize_seed], | |
| outputs=result_seed, | |
| queue=False, | |
| api_name=False, | |
| ).then( | |
| fn=sdxl_process, | |
| inputs=inputs, | |
| outputs=result, | |
| api_name=False, | |
| ) | |
| return demo | |
| if __name__ == "__main__": | |
| demo = create_demo() | |
| demo.queue().launch() | |