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import gradio as gr | |
import spaces | |
from gradio_imageslider import ImageSlider | |
from image_gen_aux import UpscaleWithModel | |
from image_gen_aux.utils import load_image | |
# This uses https://github.com/asomoza/image_gen_aux/blob/main/src/image_gen_aux/upscalers/README.md | |
# Also this space has been duplicated from their official huggingface space, https://huggingface.co/spaces/OzzyGT/basic_upscaler | |
# They did great work, and I was happy to see them to also use my models :) I thought Id duplicate it and extend it. | |
# It basically made me get a pro account so I can make a Zero GPU space. And I will also upload more of my models as a model card now to use here. | |
# Start out with my own models. If others like kim, sirosky, and other model trainers would like their models added here, then thats great. | |
# I simply want them to message me first so I know that everythings okay with having their model as a selection here since they are the author of that model. If they want their model on here or not basically. | |
# I load models from huggingface model cards though, so the model should be hosted on huggingface. | |
MODELS = { | |
"4xNomos2_hq_drct-l": "Phips/4xNomos2_hq_drct-l", | |
"4xNomosWebPhoto_RealPLKSR": "Phips/4xNomosWebPhoto_RealPLKSR", | |
"4xRealWebPhoto_v4_dat2": "Phips/4xRealWebPhoto_v4_dat2", | |
"4xRealWebPhoto_v3_atd": "Phips/4xRealWebPhoto_v3_atd", | |
"4xNomos8k_atd_jpg": "Phips/4xNomos8k_atd_jpg", | |
"4xTextures_GTAV_rgt-s_dither": "Phips/4xTextures_GTAV_rgt-s_dither", | |
"1xDeJPG_realplksr_otf": "Phips/1xDeJPG_realplksr_otf", | |
"1xDeH264_realplksr": "Phips/1xDeH264_realplksr", | |
"1xDeNoise_realplksr_otf": "Phips/1xDeNoise_realplksr_otf", | |
} | |
def upscale_image(image, model_selection): | |
original = load_image(image) | |
upscaler = UpscaleWithModel.from_pretrained(MODELS[model_selection]).to("cuda") | |
image = upscaler(original, tiling=True, tile_width=1024, tile_height=1024) | |
return original, image | |
def clear_result(): | |
return gr.update(value=None) | |
title = """<h1 align="center">Image Upscaler</h1> | |
<div align="center">Use this Space to upscale your images, makes use of the | |
<a href="https://github.com/asomoza/image_gen_aux">Image Generation Auxiliary Tools</a> library. <br> For now makes use of my self trained models, but can be extended to more models from other authors if they message me.</div> | |
""" | |
with gr.Blocks() as demo: | |
gr.HTML(title) | |
with gr.Row(): | |
with gr.Column(): | |
input_image = gr.Image(type="pil", label="Input Image") | |
model_selection = gr.Dropdown( | |
choices=list(MODELS.keys()), | |
value="4xNomos2_hq_drct-l", | |
label="Model", | |
) | |
run_button = gr.Button("Upscale") | |
with gr.Column(): | |
result = ImageSlider( | |
interactive=False, | |
label="Generated Image", | |
) | |
run_button.click( | |
fn=clear_result, | |
inputs=None, | |
outputs=result, | |
).then( | |
fn=upscale_image, | |
inputs=[input_image, model_selection], | |
outputs=result, | |
) | |
demo.launch(share=False) | |