Duplicate from caidas/swin2SR-classical-sr-x2-64

Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,20 @@
+---
+license: apache-2.0
+tags:
+- vision
+- image-to-image
+inference: false
+---
+
+# Swin2SR model (image super-resolution)
+
+Swin2SR model that upscales images x2. It was introduced in the paper [Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration](https://arxiv.org/abs/2209.11345)
+by Conde et al. and first released in [this repository](https://github.com/mv-lab/swin2sr). 
+
+# Intended use cases
+
+This model is intended for image super resolution.
+
+# Usage
+
+Refer to the [documentation](https://huggingface.co/docs/transformers/main/en/model_doc/swin2sr#transformers.Swin2SRForImageSuperResolution.forward.example).

config.json

@@ -0,0 +1,44 @@
+{
+  "architectures": [
+    "Swin2SRForImageSuperResolution"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 180,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "image_size": 64,
+  "img_range": 1.0,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-05,
+  "mlp_ratio": 2.0,
+  "model_type": "swin2sr",
+  "num_channels": 3,
+  "num_heads": [
+    6,
+    6,
+    6,
+    6,
+    6,
+    6
+  ],
+  "num_layers": 6,
+  "patch_size": 1,
+  "path_norm": true,
+  "qkv_bias": true,
+  "resi_connection": "1conv",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0.dev0",
+  "upsampler": "pixelshuffle",
+  "upscale": 2,
+  "use_absolute_embeddings": false,
+  "window_size": 8
+}

preprocessor_config.json

@@ -0,0 +1,7 @@
+{
+  "do_pad": true,
+  "do_rescale": true,
+  "image_processor_type": "Swin2SRImageProcessor",
+  "pad_size": 8,
+  "rescale_factor": 0.00392156862745098
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adf54cd2539bec31262ce6d6f97fea5079fcb8388bc7eaff0082c0dc0c87259c
+size 48606685