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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- anime
+- quality assurance
+- dataset maintenance
+pipeline_tag: image-classification
+---
+
+# **DISCLAIMER: BECAUSE I HAVE CHANGED MY VIEW ON AI GENERATED "ART" AND THE CONSTANT ABUSE OF ARTISTS, I WILL BE SHUTTING DOWN THE MODEL INDEFINITELY ON DECEMBER 24TH.**
+# Aesthetic Shadow V2
+
+Aesthetic Shadow V2 is a 1.1b parameters visual transformer designed to evaluate the quality of anime images. It accepts high-resolution 1024x1024 images as input and provides a prediction score that quantifies the aesthetic appeal of the artwork. Leveraging cutting-edge deep learning techniques, this model excels at discerning fine details, proportions, and overall visual coherence in anime illustrations.
+
+This is an improved model over the original shadowlilac/aesthetic-shadow
+
+**Before utilizing my Software, please check licensing conditions. If the license does not work for you, please contact me.**
+
+
+## Disclosure
+This model does not intend to be offensive towards any artist and may not output an accurate label for an image. A potential use case would be low quality images filtering on image datasets.

config.json

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+{
+  "_name_or_path": "shadowlilac/aesthetic-shadow",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1536,
+  "id2label": {
+    "0": "hq",
+    "1": "lq"
+  },
+  "image_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4192,
+  "label2id": {
+    "hq": "0",
+    "lq": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 48,
+  "patch_size": 64,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7e272b91db321fcaa28aa4aa7c2b3403a1a2839be484d2ecb30ee599071ee43e
+size 4365147472

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.65463551,
+    0.60715182,
+    0.61108185
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.32903292,
+    0.32726001,
+    0.31909652
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 1024,
+    "width": 1024
+  }
+}