From 4f9db3f02bb294e24bbba4d19664edebbaf7d531 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Wed, 17 Dec 2025 00:54:03 +0300 Subject: [PATCH 01/12] Add Archiver models --- data/models/1x-Archiver-Medium.json | 47 +++++++++++++++++++++++++ data/models/1x-Archiver-RGB.json | 48 ++++++++++++++++++++++++++ data/models/1x-Archiver-Rough.json | 47 +++++++++++++++++++++++++ data/models/1x-Archiver-Soft.json | 47 +++++++++++++++++++++++++ data/models/1x-Arhciver-AntiLines.json | 47 +++++++++++++++++++++++++ 5 files changed, 236 insertions(+) create mode 100644 data/models/1x-Archiver-Medium.json create mode 100644 data/models/1x-Archiver-RGB.json create mode 100644 data/models/1x-Archiver-Rough.json create mode 100644 data/models/1x-Archiver-Soft.json create mode 100644 data/models/1x-Arhciver-AntiLines.json diff --git a/data/models/1x-Archiver-Medium.json b/data/models/1x-Archiver-Medium.json new file mode 100644 index 00000000..366168ec --- /dev/null +++ b/data/models/1x-Archiver-Medium.json @@ -0,0 +1,47 @@ +{ + "name": "Archiver Medium", + "author": "Realife", + "license": "MIT", + "tags": [ + "denoise", + "restoration", + "film-grain", + "animation", + "cel-animation", + "video-frame" + ], + "description": "A general-purpose model from the Archivist suite, providing a balanced approach to removing common film grain and dirt while preserving the original drawing texture. It is the recommended starting point for most footage.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", + "date": "2025-12-17", + "architecture": "esrgan", + "size": [ + "48nf", + "16nb" + ], + "scale": 1, + "inputChannels": 3, + "outputChannels": 3, + "resources": [ + { + "platform": "pytorch", + "type": "pth", + "size": 0, + "sha256": "b94d1fac8873e6bc45cbe8174d0186217a0f2bd4a7a3a103535f6f01972a4b13", + "urls": [ + "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_Medium.pth" + ] + } + ], + "trainingIterations": 478000, + "trainingHRSize": 256, + "trainingOTF": true, + "dataset": "Custom dataset (~1800 images) of classic cel animation (1940s-1980s) processed with the Project Degrader physics-based pipeline.", + "datasetSize": 1800, + "images": [ + { + "type": "paired", + "caption": "Test case: Medium noise and grain", + "LR": "https://imgsli.com/i/f9c99bbc-6d87-48fb-9cdf-454115514860.jpg", + "SR": "https://imgsli.com/i/db120500-57d5-4421-a909-c2d31c009ad1.jpg" + } + ] +} \ No newline at end of file diff --git a/data/models/1x-Archiver-RGB.json b/data/models/1x-Archiver-RGB.json new file mode 100644 index 00000000..734162fe --- /dev/null +++ b/data/models/1x-Archiver-RGB.json @@ -0,0 +1,48 @@ +{ + "name": "Archiver RGB", + "author": "Realife", + "license": "MIT", + "tags": [ + "denoise", + "restoration", + "film-grain", + "animation", + "cel-animation", + "video-frame", + "chromatic-noise" + ], + "description": "A specialized model from the Archivist suite, specifically tuned for tackling heavy chromatic (color) noise and severe color channel degradation, often seen in Metrocolor films. Note: its capabilities overlap with the Rough model, but it is better suited for color-based artifacts.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", + "date": "2025-12-17", + "architecture": "esrgan", + "size": [ + "48nf", + "16nb" + ], + "scale": 1, + "inputChannels": 3, + "outputChannels": 3, + "resources": [ + { + "platform": "pytorch", + "type": "pth", + "size": 0, + "sha256": "24b2d721cc042d1fb5849625e1e498ea53b6b4d2a7fcddc5d870bcbeb1200b97", + "urls": [ + "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_RGB.pth" + ] + } + ], + "trainingIterations": 193000, + "trainingHRSize": 256, + "trainingOTF": true, + "dataset": "Custom dataset (~1800 images) of classic cel animation (1940s-1980s) processed with the Project Degrader physics-based pipeline.", + "datasetSize": 1800, + "images": [ + { + "type": "paired", + "caption": "Test case: Heavy chromatic (color) noise", + "LR": "https://imgsli.com/i/681b8d22-cc4b-41e9-8c4a-b8a829c04533.jpg", + "SR": "https://imgsli.com/i/1ed4a803-cdcb-4e46-87c1-e5776a568389.jpg" + } + ] +} \ No newline at end of file diff --git a/data/models/1x-Archiver-Rough.json b/data/models/1x-Archiver-Rough.json new file mode 100644 index 00000000..c4f4b5cc --- /dev/null +++ b/data/models/1x-Archiver-Rough.json @@ -0,0 +1,47 @@ +{ + "name": "Archiver Rough", + "author": "Realife", + "license": "MIT", + "tags": [ + "denoise", + "restoration", + "film-grain", + "animation", + "cel-animation", + "video-frame" + ], + "description": "An aggressive restoration model from the Archivist suite for severely degraded footage. It attempts to reconstruct heavily damaged or lost details through hallucination. Note: its capabilities overlap with the RGB model, but it focuses more on structural integrity than color noise.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", + "date": "2025-12-17", + "architecture": "esrgan", + "size": [ + "48nf", + "16nb" + ], + "scale": 1, + "inputChannels": 3, + "outputChannels": 3, + "resources": [ + { + "platform": "pytorch", + "type": "pth", + "size": 0, + "sha256": "82363da3d4516a8a108e7253ad9056b38e998e22870cc1580ba3e20598d8dbd8", + "urls": [ + "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_Rough.pth" + ] + } + ], + "trainingIterations": 493000, + "trainingHRSize": 256, + "trainingOTF": true, + "dataset": "Custom dataset (~1800 images) of classic cel animation (1940s-1980s) processed with the Project Degrader physics-based pipeline.", + "datasetSize": 1800, + "images": [ + { + "type": "paired", + "caption": "Test case: Heavy degradation and noise", + "LR": "https://imgsli.com/i/0f4817f0-69c6-444b-8718-2b39439ef938.jpg", + "SR": "https://imgsli.com/i/339dd3c2-40b5-4da6-9402-6c7688fe0f04.jpg" + } + ] +} \ No newline at end of file diff --git a/data/models/1x-Archiver-Soft.json b/data/models/1x-Archiver-Soft.json new file mode 100644 index 00000000..6a4f5cae --- /dev/null +++ b/data/models/1x-Archiver-Soft.json @@ -0,0 +1,47 @@ +{ + "name": "Archiver Soft", + "author": "Realife", + "license": "MIT", + "tags": [ + "denoise", + "restoration", + "film-grain", + "animation", + "cel-animation", + "video-frame" + ], + "description": "A light-touch restoration model from the Archivist suite, designed for high-quality sources. It focuses on gentle denoising while preserving the original film grain aesthetic. CAVEAT: In some scenarios, a standard DRUNet might yield subjectively better results. Always compare on your specific footage.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", + "date": "2025-12-17", + "architecture": "esrgan", + "size": [ + "48nf", + "16nb" + ], + "scale": 1, + "inputChannels": 3, + "outputChannels": 3, + "resources": [ + { + "platform": "pytorch", + "type": "pth", + "size": 0, + "sha256": "d02616fa398617e2b8ac67cedd5ba265b9ae52372799a75467a9e0d4dd4641f1", + "urls": [ + "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_Soft.pth" + ] + } + ], + "trainingIterations": 453000, + "trainingHRSize": 256, + "trainingOTF": true, + "dataset": "Custom dataset (~1800 images) of classic cel animation (1940s-1980s) processed with the Project Degrader physics-based pipeline.", + "datasetSize": 1800, + "images": [ + { + "type": "paired", + "caption": "Test case: Light noise and grain preservation", + "LR": "https://imgsli.com/i/f667ebba-4728-4514-bac6-ccb7e14c03b1.jpg", + "SR": "https://imgsli.com/i/3a42eb2f-f798-4916-b4b7-8eec3ae8d002.jpg" + } + ] +} \ No newline at end of file diff --git a/data/models/1x-Arhciver-AntiLines.json b/data/models/1x-Arhciver-AntiLines.json new file mode 100644 index 00000000..f4c24954 --- /dev/null +++ b/data/models/1x-Arhciver-AntiLines.json @@ -0,0 +1,47 @@ +{ + "name": "Archiver AntiLines", + "author": "Realife", + "license": "MIT", + "tags": [ + "denoise", + "restoration", + "film-grain", + "animation", + "cel-animation", + "video-frame" + ], + "description": "A specialized model from the Archivist suite, designed to remove linear artifacts. It excels at eliminating horizontal lines that other denoisers often mistake for part of the line art.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", + "date": "2025-12-17", + "architecture": "esrgan", + "size": [ + "48nf", + "16nb" + ], + "scale": 1, + "inputChannels": 3, + "outputChannels": 3, + "resources": [ + { + "platform": "pytorch", + "type": "pth", + "size": 0, + "sha256": "87140c5284bdecbf15e838d7f30dab5390e02504e47a939180076d6234a82226", + "urls": [ + "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_AntiLines.pth" + ] + } + ], + "trainingIterations": 457000, + "trainingHRSize": 256, + "trainingOTF": true, + "dataset": "Custom dataset (~1800 images) of classic cel animation (1940s-1980s) processed with the Project Degrader physics-based pipeline.", + "datasetSize": 1800, + "images": [ + { + "type": "paired", + "caption": "Test case: Removing horizontal film lines", + "LR": "https://imgsli.com/i/d9cdfc24-21c7-4889-926c-c037d453d581.jpg", + "SR": "https://imgsli.com/i/a4f15a21-6196-4e4b-ab88-53b1665b0db4.jpg" + } + ] +} \ No newline at end of file From 32377212becfc0d6586ea9169028b0343f02e3d8 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Wed, 17 Dec 2025 16:05:41 +0300 Subject: [PATCH 02/12] Update author and tags in Archiver Medium model --- data/models/1x-Archiver-Medium.json | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/data/models/1x-Archiver-Medium.json b/data/models/1x-Archiver-Medium.json index 366168ec..5366f2ce 100644 --- a/data/models/1x-Archiver-Medium.json +++ b/data/models/1x-Archiver-Medium.json @@ -1,14 +1,12 @@ { "name": "Archiver Medium", - "author": "Realife", + "author": "Loganavter", "license": "MIT", "tags": [ "denoise", "restoration", - "film-grain", - "animation", - "cel-animation", - "video-frame" + "dehalo", + "cartoon", ], "description": "A general-purpose model from the Archivist suite, providing a balanced approach to removing common film grain and dirt while preserving the original drawing texture. It is the recommended starting point for most footage.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -44,4 +42,4 @@ "SR": "https://imgsli.com/i/db120500-57d5-4421-a909-c2d31c009ad1.jpg" } ] -} \ No newline at end of file +} From d92253d91635603b5d3e611d4ad117632bd5d8f8 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Wed, 17 Dec 2025 16:06:34 +0300 Subject: [PATCH 03/12] Change author and update tags in Archiver RGB model Updated author and modified tags in the model JSON. --- data/models/1x-Archiver-RGB.json | 11 ++++------- 1 file changed, 4 insertions(+), 7 deletions(-) diff --git a/data/models/1x-Archiver-RGB.json b/data/models/1x-Archiver-RGB.json index 734162fe..b3590611 100644 --- a/data/models/1x-Archiver-RGB.json +++ b/data/models/1x-Archiver-RGB.json @@ -1,15 +1,12 @@ { "name": "Archiver RGB", - "author": "Realife", + "author": "Loganavter", "license": "MIT", "tags": [ "denoise", "restoration", - "film-grain", - "animation", - "cel-animation", - "video-frame", - "chromatic-noise" + "dehalo", + "cartoon", ], "description": "A specialized model from the Archivist suite, specifically tuned for tackling heavy chromatic (color) noise and severe color channel degradation, often seen in Metrocolor films. Note: its capabilities overlap with the Rough model, but it is better suited for color-based artifacts.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -45,4 +42,4 @@ "SR": "https://imgsli.com/i/1ed4a803-cdcb-4e46-87c1-e5776a568389.jpg" } ] -} \ No newline at end of file +} From 59e779a8e47c8927540c9e67f8d82c1f5f15ab54 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Wed, 17 Dec 2025 16:07:05 +0300 Subject: [PATCH 04/12] Change author and update tags in Archiver Rough model Updated author name and modified tags in the JSON model. --- data/models/1x-Archiver-Rough.json | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/data/models/1x-Archiver-Rough.json b/data/models/1x-Archiver-Rough.json index c4f4b5cc..22a733c6 100644 --- a/data/models/1x-Archiver-Rough.json +++ b/data/models/1x-Archiver-Rough.json @@ -1,14 +1,12 @@ { "name": "Archiver Rough", - "author": "Realife", + "author": "Loganavter", "license": "MIT", "tags": [ "denoise", "restoration", - "film-grain", - "animation", - "cel-animation", - "video-frame" + "dehalo", + "cartoon", ], "description": "An aggressive restoration model from the Archivist suite for severely degraded footage. It attempts to reconstruct heavily damaged or lost details through hallucination. Note: its capabilities overlap with the RGB model, but it focuses more on structural integrity than color noise.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -44,4 +42,4 @@ "SR": "https://imgsli.com/i/339dd3c2-40b5-4da6-9402-6c7688fe0f04.jpg" } ] -} \ No newline at end of file +} From d454ac168adabd4ff8db623fdf3d73340960a082 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Wed, 17 Dec 2025 16:07:36 +0300 Subject: [PATCH 05/12] Change author and update tags in Archiver Soft model Updated author name and modified tags in the JSON model. --- data/models/1x-Archiver-Soft.json | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/data/models/1x-Archiver-Soft.json b/data/models/1x-Archiver-Soft.json index 6a4f5cae..85eb78ba 100644 --- a/data/models/1x-Archiver-Soft.json +++ b/data/models/1x-Archiver-Soft.json @@ -1,14 +1,12 @@ { "name": "Archiver Soft", - "author": "Realife", + "author": "Loganavter", "license": "MIT", "tags": [ "denoise", "restoration", - "film-grain", - "animation", - "cel-animation", - "video-frame" + "dehalo", + "cartoon", ], "description": "A light-touch restoration model from the Archivist suite, designed for high-quality sources. It focuses on gentle denoising while preserving the original film grain aesthetic. CAVEAT: In some scenarios, a standard DRUNet might yield subjectively better results. Always compare on your specific footage.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -44,4 +42,4 @@ "SR": "https://imgsli.com/i/3a42eb2f-f798-4916-b4b7-8eec3ae8d002.jpg" } ] -} \ No newline at end of file +} From a17c7c8b86ceead1ec8c6c80ce776b59c6ccd5fb Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Wed, 17 Dec 2025 16:08:03 +0300 Subject: [PATCH 06/12] Update 1x-Arhciver-AntiLines.json --- data/models/1x-Arhciver-AntiLines.json | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/data/models/1x-Arhciver-AntiLines.json b/data/models/1x-Arhciver-AntiLines.json index f4c24954..02769951 100644 --- a/data/models/1x-Arhciver-AntiLines.json +++ b/data/models/1x-Arhciver-AntiLines.json @@ -1,14 +1,12 @@ { "name": "Archiver AntiLines", - "author": "Realife", + "author": "Loganavter", "license": "MIT", "tags": [ "denoise", "restoration", - "film-grain", - "animation", - "cel-animation", - "video-frame" + "dehalo", + "cartoon", ], "description": "A specialized model from the Archivist suite, designed to remove linear artifacts. It excels at eliminating horizontal lines that other denoisers often mistake for part of the line art.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -44,4 +42,4 @@ "SR": "https://imgsli.com/i/a4f15a21-6196-4e4b-ab88-53b1665b0db4.jpg" } ] -} \ No newline at end of file +} From 93eb124845cc343a22ed604eadd63b9944df69ee Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Wed, 17 Dec 2025 16:08:33 +0300 Subject: [PATCH 07/12] Fix filename typo in Archiver-AntiLines.json --- .../{1x-Arhciver-AntiLines.json => 1x-Archiver-AntiLines.json} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename data/models/{1x-Arhciver-AntiLines.json => 1x-Archiver-AntiLines.json} (100%) diff --git a/data/models/1x-Arhciver-AntiLines.json b/data/models/1x-Archiver-AntiLines.json similarity index 100% rename from data/models/1x-Arhciver-AntiLines.json rename to data/models/1x-Archiver-AntiLines.json From 3b8e413e0dd2e37487918a5ccaf10dcffdde91ec Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Tue, 23 Dec 2025 20:30:53 +0300 Subject: [PATCH 08/12] Fix author name and update resource size --- data/models/1x-Archiver-AntiLines.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/models/1x-Archiver-AntiLines.json b/data/models/1x-Archiver-AntiLines.json index 02769951..e8ba9733 100644 --- a/data/models/1x-Archiver-AntiLines.json +++ b/data/models/1x-Archiver-AntiLines.json @@ -1,12 +1,12 @@ { "name": "Archiver AntiLines", - "author": "Loganavter", + "author": "loganavter", "license": "MIT", "tags": [ "denoise", "restoration", "dehalo", - "cartoon", + "cartoon" ], "description": "A specialized model from the Archivist suite, designed to remove linear artifacts. It excels at eliminating horizontal lines that other denoisers often mistake for part of the line art.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -22,7 +22,7 @@ { "platform": "pytorch", "type": "pth", - "size": 0, + "size": 1360537, "sha256": "87140c5284bdecbf15e838d7f30dab5390e02504e47a939180076d6234a82226", "urls": [ "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_AntiLines.pth" From f33ad522a7f3f3a4bb641441f60ded5638646532 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Tue, 23 Dec 2025 20:32:25 +0300 Subject: [PATCH 09/12] Fix author casing and update resource size --- data/models/1x-Archiver-Medium.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/models/1x-Archiver-Medium.json b/data/models/1x-Archiver-Medium.json index 5366f2ce..d36a9c9d 100644 --- a/data/models/1x-Archiver-Medium.json +++ b/data/models/1x-Archiver-Medium.json @@ -1,12 +1,12 @@ { "name": "Archiver Medium", - "author": "Loganavter", + "author": "loganavter", "license": "MIT", "tags": [ "denoise", "restoration", "dehalo", - "cartoon", + "cartoon" ], "description": "A general-purpose model from the Archivist suite, providing a balanced approach to removing common film grain and dirt while preserving the original drawing texture. It is the recommended starting point for most footage.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -22,7 +22,7 @@ { "platform": "pytorch", "type": "pth", - "size": 0, + "size": 1360537, "sha256": "b94d1fac8873e6bc45cbe8174d0186217a0f2bd4a7a3a103535f6f01972a4b13", "urls": [ "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_Medium.pth" From 0733770da2317d6dc4262535ff41ac90c42a3f2c Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Tue, 23 Dec 2025 20:34:01 +0300 Subject: [PATCH 10/12] Fix author name and update model size in JSON --- data/models/1x-Archiver-RGB.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/models/1x-Archiver-RGB.json b/data/models/1x-Archiver-RGB.json index b3590611..856e00d6 100644 --- a/data/models/1x-Archiver-RGB.json +++ b/data/models/1x-Archiver-RGB.json @@ -1,12 +1,12 @@ { "name": "Archiver RGB", - "author": "Loganavter", + "author": "loganavter", "license": "MIT", "tags": [ "denoise", "restoration", "dehalo", - "cartoon", + "cartoon" ], "description": "A specialized model from the Archivist suite, specifically tuned for tackling heavy chromatic (color) noise and severe color channel degradation, often seen in Metrocolor films. Note: its capabilities overlap with the Rough model, but it is better suited for color-based artifacts.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -22,7 +22,7 @@ { "platform": "pytorch", "type": "pth", - "size": 0, + "size": 2721289, "sha256": "24b2d721cc042d1fb5849625e1e498ea53b6b4d2a7fcddc5d870bcbeb1200b97", "urls": [ "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_RGB.pth" From 143c25f3f0f0bba06e85f58ea8bd398db071c131 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Tue, 23 Dec 2025 20:34:55 +0300 Subject: [PATCH 11/12] Fix author name and update resource size in JSON --- data/models/1x-Archiver-Rough.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/models/1x-Archiver-Rough.json b/data/models/1x-Archiver-Rough.json index 22a733c6..105d7686 100644 --- a/data/models/1x-Archiver-Rough.json +++ b/data/models/1x-Archiver-Rough.json @@ -1,12 +1,12 @@ { "name": "Archiver Rough", - "author": "Loganavter", + "author": "loganavter", "license": "MIT", "tags": [ "denoise", "restoration", "dehalo", - "cartoon", + "cartoon" ], "description": "An aggressive restoration model from the Archivist suite for severely degraded footage. It attempts to reconstruct heavily damaged or lost details through hallucination. Note: its capabilities overlap with the RGB model, but it focuses more on structural integrity than color noise.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -22,7 +22,7 @@ { "platform": "pytorch", "type": "pth", - "size": 0, + "size": 1360537, "sha256": "82363da3d4516a8a108e7253ad9056b38e998e22870cc1580ba3e20598d8dbd8", "urls": [ "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_Rough.pth" From 9061b6c9841d8d39f3af02a683ea8e6934e87f47 Mon Sep 17 00:00:00 2001 From: Loganavter <66126148+Loganavter@users.noreply.github.com> Date: Tue, 23 Dec 2025 20:35:58 +0300 Subject: [PATCH 12/12] Fix author casing and update resource size --- data/models/1x-Archiver-Soft.json | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/data/models/1x-Archiver-Soft.json b/data/models/1x-Archiver-Soft.json index 85eb78ba..8031dd5d 100644 --- a/data/models/1x-Archiver-Soft.json +++ b/data/models/1x-Archiver-Soft.json @@ -1,12 +1,12 @@ { "name": "Archiver Soft", - "author": "Loganavter", + "author": "loganavter", "license": "MIT", "tags": [ "denoise", "restoration", "dehalo", - "cartoon", + "cartoon" ], "description": "A light-touch restoration model from the Archivist suite, designed for high-quality sources. It focuses on gentle denoising while preserving the original film grain aesthetic. CAVEAT: In some scenarios, a standard DRUNet might yield subjectively better results. Always compare on your specific footage.\n\nThis model is optimized for input resolutions between 720p and 1080p. Using it on significantly different resolutions may produce suboptimal results.\n\nAll Archivist models are trained on a custom dataset generated by a physics-based degradation simulator. Recommended Workflow: Use Archivist to fix physical defects, then pass the result through DRUNet (low strength) to stabilize.", "date": "2025-12-17", @@ -22,7 +22,7 @@ { "platform": "pytorch", "type": "pth", - "size": 0, + "size": 2721289, "sha256": "d02616fa398617e2b8ac67cedd5ba265b9ae52372799a75467a9e0d4dd4641f1", "urls": [ "https://github.com/Loganavter/Archivist-Project-Denoiser/releases/download/v1.0/1x-Archivist_Soft.pth"