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from utils.image2image import stable_diffusion_img2img | |
from utils.text2image import stable_diffusion_text2img | |
from utils.inpaint import stable_diffusion_inpaint | |
import gradio as gr | |
stable_model_list = [ | |
"runwayml/stable-diffusion-v1-5", | |
"stabilityai/stable-diffusion-2", | |
"stabilityai/stable-diffusion-2-base", | |
"stabilityai/stable-diffusion-2-1", | |
"stabilityai/stable-diffusion-2-1-base" | |
] | |
stable_inpiant_model_list = [ | |
"stabilityai/stable-diffusion-2-inpainting", | |
"runwayml/stable-diffusion-inpainting" | |
] | |
stable_prompt_list = [ | |
"a photo of a man.", | |
"a photo of a girl." | |
] | |
stable_negative_prompt_list = [ | |
"bad, ugly", | |
"deformed" | |
] | |
app = gr.Blocks() | |
with app: | |
gr.Markdown("# **<h2 align='center'>Stable Diffusion + ControlNet WebUI<h2>**") | |
gr.Markdown( | |
""" | |
<h5 style='text-align: center'> | |
Follow me for more! | |
<a href='https://twitter.com/kadirnar_ai' target='_blank'>Twitter</a> | <a href='https://github.com/kadirnar' target='_blank'>Github</a> | <a href='https://www.linkedin.com/in/kadir-nar/' target='_blank'>Linkedin</a> | |
</h5> | |
""" | |
) | |
with gr.Row(): | |
with gr.Column(): | |
with gr.Tab('Text2Image'): | |
text2image_model_id = gr.Dropdown( | |
choices=stable_model_list, | |
value=stable_model_list[0], | |
label='Text-Image Model Id' | |
) | |
text2image_prompt = gr.Textbox( | |
lines=1, | |
value=stable_prompt_list[0], | |
label='Prompt' | |
) | |
text2image_negative_prompt = gr.Textbox( | |
lines=1, | |
value=stable_negative_prompt_list[0], | |
label='Negative Prompt' | |
) | |
with gr.Accordion("Advanced Options", open=False): | |
text2image_guidance_scale = gr.Slider( | |
minimum=0.1, | |
maximum=15, | |
step=0.1, | |
value=7.5, | |
label='Guidance Scale' | |
) | |
text2image_num_inference_step = gr.Slider( | |
minimum=1, | |
maximum=100, | |
step=1, | |
value=50, | |
label='Num Inference Step' | |
) | |
text2image_height = gr.Slider( | |
minimum=128, | |
maximum=1280, | |
step=32, | |
value=512, | |
label='Tile Height' | |
) | |
text2image_width = gr.Slider( | |
minimum=128, | |
maximum=1280, | |
step=32, | |
value=768, | |
label='Tile Height' | |
) | |
text2image_predict = gr.Button(value='Generator') | |
with gr.Tab('Image2Image'): | |
image2image2_image_file = gr.Image(label='Image') | |
image2image_model_id = gr.Dropdown( | |
choices=stable_model_list, | |
value=stable_model_list[0], | |
label='Image-Image Model Id' | |
) | |
image2image_prompt = gr.Textbox( | |
lines=1, | |
value=stable_prompt_list[0], | |
label='Prompt' | |
) | |
image2image_negative_prompt = gr.Textbox( | |
lines=1, | |
value=stable_negative_prompt_list[0], | |
label='Negative Prompt' | |
) | |
with gr.Accordion("Advanced Options", open=False): | |
image2image_guidance_scale = gr.Slider( | |
minimum=0.1, | |
maximum=15, | |
step=0.1, | |
value=7.5, | |
label='Guidance Scale' | |
) | |
image2image_num_inference_step = gr.Slider( | |
minimum=1, | |
maximum=100, | |
step=1, | |
value=50, | |
label='Num Inference Step' | |
) | |
image2image_predict = gr.Button(value='Generator') | |
with gr.Tab('Inpaint'): | |
inpaint_image_file = gr.Image( | |
source="upload", | |
type="numpy", | |
tool="sketch", | |
elem_id="source_container" | |
) | |
inpaint_model_id = gr.Dropdown( | |
choices=stable_inpiant_model_list, | |
value=stable_inpiant_model_list[0], | |
label='Inpaint Model Id' | |
) | |
inpaint_prompt = gr.Textbox( | |
lines=1, | |
value=stable_prompt_list[0], | |
label='Prompt' | |
) | |
inpaint_negative_prompt = gr.Textbox( | |
lines=1, | |
value=stable_negative_prompt_list[0], | |
label='Negative Prompt' | |
) | |
with gr.Accordion("Advanced Options", open=False): | |
inpaint_guidance_scale = gr.Slider( | |
minimum=0.1, | |
maximum=15, | |
step=0.1, | |
value=7.5, | |
label='Guidance Scale' | |
) | |
inpaint_num_inference_step = gr.Slider( | |
minimum=1, | |
maximum=100, | |
step=1, | |
value=50, | |
label='Num Inference Step' | |
) | |
inpaint_predict = gr.Button(value='Generator') | |
with gr.Tab('Generator'): | |
with gr.Column(): | |
output_image = gr.Image(label='Image') | |
text2image_predict.click( | |
fn = stable_diffusion_text2img, | |
inputs = [ | |
text2image_model_id, | |
text2image_prompt, | |
text2image_negative_prompt, | |
text2image_guidance_scale, | |
text2image_num_inference_step, | |
text2image_height, | |
text2image_width, | |
], | |
outputs = [output_image], | |
) | |
image2image_predict.click( | |
fn = stable_diffusion_img2img, | |
inputs = [ | |
image2image2_image_file, | |
image2image_model_id, | |
image2image_prompt, | |
image2image_negative_prompt, | |
image2image_guidance_scale, | |
image2image_num_inference_step, | |
], | |
outputs = [output_image], | |
) | |
inpaint_predict.click( | |
fn = stable_diffusion_inpaint, | |
inputs = [ | |
inpaint_image_file, | |
inpaint_model_id, | |
inpaint_prompt, | |
inpaint_negative_prompt, | |
inpaint_guidance_scale, | |
inpaint_num_inference_step, | |
], | |
outputs = [output_image], | |
) | |
app.launch() |