Add application file

app.py

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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
+import torch
+
+# 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 made me upload a lot of my models on huggingface now so I can use them here ;)
+
+# My models, alphabetically sorted
+MODELS = {
+    "1xDeH264_realplksr": "Phips/1xDeH264_realplksr",
+    "1xDeJPG_HAT": "Phips/1xDeJPG_HAT",
+    "1xDeJPG_OmniSR": "Phips/1xDeJPG_OmniSR",
+    "1xDeJPG_realplksr_otf": "Phips/1xDeJPG_realplksr_otf",
+    "1xDeJPG_SRFormer_light": "Phips/1xDeJPG_SRFormer_light",
+    "1xDeNoise_realplksr_otf": "Phips/1xDeNoise_realplksr_otf",
+    "1xExposureCorrection_compact": "Phips/1xExposureCorrection_compact",
+    "1xOverExposureCorrection_compact": "Phips/1xOverExposureCorrection_compact",
+    "1xUnderExposureCorrection_compact": "Phips/1xUnderExposureCorrection_compact",
+    "2xAoMR_mosr": "Phips/2xAoMR_mosr",
+    "2xEvangelion_compact": "Phips/2xEvangelion_compact",
+    "2xEvangelion_dat2": "Phips/2xEvangelion_dat2",
+    "2xEvangelion_omnisr": "Phips/2xEvangelion_omnisr",
+    "2xHFA2k_compact_multijpg": "Phips/2xHFA2k_compact_multijpg",
+    "2xHFA2k_LUDVAE_compact": "Phips/2xHFA2k_LUDVAE_compact",
+    "2xHFA2k_LUDVAE_SPAN": "Phips/2xHFA2k_LUDVAE_SPAN",
+    "2xHFA2kAVCCompact": "Phips/2xHFA2kAVCCompact",
+    "2xHFA2kAVCOmniSR": "Phips/2xHFA2kAVCOmniSR",
+    "2xHFA2kAVCSRFormer_light": "Phips/2xHFA2kAVCSRFormer_light",
+    "2xHFA2kCompact": "Phips/2xHFA2kCompact",
+    "2xHFA2kOmniSR": "Phips/2xHFA2kOmniSR",
+    "2xHFA2kReal-CUGAN": "Phips/2xHFA2kReal-CUGAN",
+    "2xHFA2kShallowESRGAN": "Phips/2xHFA2kShallowESRGAN",
+    "2xHFA2kSPAN": "Phips/2xHFA2kSPAN",
+    "2xHFA2kSwinIR-S": "Phips/2xHFA2kSwinIR-S",
+    "2xLexicaRRDBNet": "Phips/2xLexicaRRDBNet",
+    "2xLexicaRRDBNet_Sharp": "Phips/2xLexicaRRDBNet_Sharp",
+    "2xNomosUni_compact_multijpg": "Phips/2xNomosUni_compact_multijpg",
+    "2xNomosUni_compact_multijpg_ldl": "Phips/2xNomosUni_compact_multijpg_ldl",
+    "2xNomosUni_compact_otf_medium": "Phips/2xNomosUni_compact_otf_medium",
+    "2xNomosUni_esrgan_multijpg": "Phips/2xNomosUni_esrgan_multijpg",
+    "2xNomosUni_span_multijpg": "Phips/2xNomosUni_span_multijpg",
+    "2xNomosUni_span_multijpg_ldl": "Phips/2xNomosUni_span_multijpg_ldl",
+    "2xParimgCompact": "Phips/2xParimgCompact",
+    "4x4xTextures_GTAV_rgt-s": "Phips/4xTextures_GTAV_rgt-s",
+    "4xArtFaces_realplksr_dysample": "Phips/4xArtFaces_realplksr_dysample",
+    "4xBHI_dat2_multiblur": "Phips/4xBHI_dat2_multiblur",
+    "4xBHI_dat2_multiblurjpg": "Phips/4xBHI_dat2_multiblurjpg",
+    "4xBHI_dat2_otf": "Phips/4xBHI_dat2_otf",
+    "4xBHI_dat2_real": "Phips/4xBHI_dat2_real",
+    "4xBHI_realplksr_dysample_multi": "Phips/4xBHI_realplksr_dysample_multi",
+    "4xBHI_realplksr_dysample_multiblur": "Phips/4xBHI_realplksr_dysample_multiblur",
+    "4xBHI_realplksr_dysample_otf": "Phips/4xBHI_realplksr_dysample_otf",
+    "4xBHI_realplksr_dysample_otf_nn": "Phips/4xBHI_realplksr_dysample_otf_nn",
+    "4xBHI_realplksr_dysample_real": "Phips/4xBHI_realplksr_dysample_real",
+    "4xFaceUpDAT": "Phips/4xFaceUpDAT",
+    "4xFaceUpLDAT": "Phips/4xFaceUpLDAT",
+    "4xFaceUpSharpDAT": "Phips/4xFaceUpSharpDAT",
+    "4xFaceUpSharpLDAT": "Phips/4xFaceUpSharpLDAT",
+    "4xFFHQDAT": "Phips/4xFFHQDAT",
+    "4xFFHQLDAT": "Phips/4xFFHQLDAT",
+    "4xHFA2k": "Phips/4xHFA2k",
+    "4xHFA2k_ludvae_realplksr_dysample": "Phips/4xHFA2k_ludvae_realplksr_dysample",
+    "4xHFA2kLUDVAEGRL_small": "Phips/4xHFA2kLUDVAEGRL_small",
+    "4xHFA2kLUDVAESRFormer_light": "Phips/4xHFA2kLUDVAESRFormer_light",
+    "4xHFA2kLUDVAESwinIR_light": "Phips/4xHFA2kLUDVAESwinIR_light",
+    "4xLexicaDAT2_otf": "Phips/4xLexicaDAT2_otf",
+    "4xLSDIRCompact2": "Phips/4xLSDIRCompact2",
+    "4xLSDIRCompact": "Phips/4xLSDIRCompact",
+    "4xLSDIRCompactC3": "Phips/4xLSDIRCompactC3",
+    "4xLSDIRCompactC": "Phips/4xLSDIRCompactC",
+    "4xLSDIRCompactCR3": "Phips/4xLSDIRCompactCR3",
+    "4xLSDIRCompactN3": "Phips/4xLSDIRCompactN3",
+    "4xLSDIRCompactR3": "Phips/4xLSDIRCompactR3",
+    "4xLSDIRCompactR": "Phips/4xLSDIRCompactR",
+    "4xLSDIRDAT": "Phips/4xLSDIRDAT",
+    "4xNature_realplksr_dysample": "Phips/4xNature_realplksr_dysample",
+    "4xNomos2_hq_atd": "Phips/4xNomos2_hq_atd",
+    "4xNomos2_hq_dat2": "Phips/4xNomos2_hq_dat2",
+    "4xNomos2_hq_drct-l": "Phips/4xNomos2_hq_drct-l",
+    "4xNomos2_hq_mosr": "Phips/4xNomos2_hq_mosr",
+    "4xNomos2_otf_esrgan": "Phips/4xNomos2_otf_esrgan",
+    "4xNomos2_realplksr_dysample": "Phips/4xNomos2_realplksr_dysample",
+    "4xNomos8k_atd_jpg": "Phips/4xNomos8k_atd_jpg",
+    "4xNomos8kDAT": "Phips/4xNomos8kDAT",
+    "4xNomos8kHAT-L_bokeh_jpg": "Phips/4xNomos8kHAT-L_bokeh_jpg",
+    "4xNomos8kHAT-L_otf": "Phips/4xNomos8kHAT-L_otf",
+    "4xNomos8kSC": "Phips/4xNomos8kSC",
+    "4xNomos8kSCHAT-L": "Phips/4xNomos8kSCHAT-L",
+    "4xNomos8kSCHAT-S": "Phips/4xNomos8kSCHAT-S",
+    "4xNomos8kSCSRFormer": "Phips/4xNomos8kSCSRFormer",
+    "4xNomosUni_rgt_multijpg": "Phips/4xNomosUni_rgt_multijpg",
+    "4xNomosUni_rgt_s_multijpg": "Phips/4xNomosUni_rgt_s_multijpg",
+    "4xNomosUni_span_multijpg": "Phips/4xNomosUni_span_multijpg",
+    "4xNomosUniDAT2_box": "Phips/4xNomosUniDAT2_box",
+    "4xNomosUniDAT2_multijpg_ldl": "Phips/4xNomosUniDAT2_multijpg_ldl",
+    "4xNomosUniDAT2_multijpg_ldl_sharp": "Phips/4xNomosUniDAT2_multijpg_ldl_sharp",
+    "4xNomosUniDAT_bokeh_jpg": "Phips/4xNomosUniDAT_bokeh_jpg",
+    "4xNomosUniDAT_otf": "Phips/4xNomosUniDAT_otf",
+    "4xNomosWebPhoto_atd": "Phips/4xNomosWebPhoto_atd",
+    "4xNomosWebPhoto_esrgan": "Phips/4xNomosWebPhoto_esrgan",
+    "4xNomosWebPhoto_RealPLKSR": "Phips/4xNomosWebPhoto_RealPLKSR",
+    "4xReal_SSDIR_DAT_GAN": "Phips/4xReal_SSDIR_DAT_GAN",
+    "4xRealWebPhoto_v3_atd": "Phips/4xRealWebPhoto_v3_atd",
+    "4xRealWebPhoto_v4_dat2": "Phips/4xRealWebPhoto_v4_dat2",
+    "4xRealWebPhoto_v4_drct-l": "Phips/4xRealWebPhoto_v4_drct-l",
+    "4xSSDIRDAT": "Phips/4xSSDIRDAT",
+    "4xTextureDAT2_otf": "Phips/4xTextureDAT2_otf",
+    "4xTextures_GTAV_rgt-s": "Phips/4xTextures_GTAV_rgt-s",
+    "4xTextures_GTAV_rgt-s_dither": "Phips/4xTextures_GTAV_rgt-s_dither",
+}
+
+
+@spaces.GPU
+def upscale_image(image, model_selection):
+    original = load_image(image)
+
+    device = "cuda" if torch.cuda.is_available() else "cpu"
+    upscaler = UpscaleWithModel.from_pretrained(MODELS[model_selection]).to(device)
+
+    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> 
+This space makes use of <a href="https://github.com/Phhofm/models">my self trained models</a> and tiles at 1024x1024<br>
+Here is an <a href="https://huggingface.co/spaces/Phips/Upscaler/resolve/main/input_example1.png">example input image</a> you can use to try it out.</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="4xNomosWebPhoto_RealPLKSR",
+                label="Model (alphabetically sorted)",
+            )
+
+            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)