add more realesrgan models

lama_cleaner/parse_args.py

@@ -6,6 +6,7 @@ from pathlib import Path
 from loguru import logger
 
 from lama_cleaner.const import *
+from lama_cleaner.plugins.realesrgan import RealESRGANModelName, RealESRGANModelNameList
 from lama_cleaner.runtime import dump_environment_info
 
 
@@ -92,7 +93,13 @@ def parse_args():
         help="Enable realesrgan super resolution",
     )
     parser.add_argument(
-        "--realesrgan-device", default="cpu", type=str, choices=["cpu", "cuda"]
+        "--realesrgan-device", default="cpu", type=str, choices=["cpu", "cuda", "mps"]
+    )
+    parser.add_argument(
+        "--realesrgan-model",
+        default=RealESRGANModelName.realesr_general_x4v3.value,
+        type=str,
+        choices=RealESRGANModelNameList,
     )
     parser.add_argument(
         "--enable-gif",

lama_cleaner/plugins/realesrgan.py

@@ -1,33 +1,79 @@
+from enum import Enum
+
 import cv2
 
 from lama_cleaner.helper import download_model
 
 
+class RealESRGANModelName(str, Enum):
+    realesr_general_x4v3 = "realesr-general-x4v3"
+    RealESRGAN_x4plus = "RealESRGAN_x4plus"
+    RealESRGAN_x4plus_anime_6B = "RealESRGAN_x4plus_anime_6B"
+
+
+RealESRGANModelNameList = [e.value for e in RealESRGANModelName]
+
+
 class RealESRGANUpscaler:
     name = "RealESRGAN"
 
-    def __init__(self, device):
+    def __init__(self, name, device):
         super().__init__()
         from basicsr.archs.rrdbnet_arch import RRDBNet
         from realesrgan import RealESRGANer
+        from realesrgan.archs.srvgg_arch import SRVGGNetCompact
 
-        scale = 4
+        REAL_ESRGAN_MODELS = {
-        model = RRDBNet(
+            RealESRGANModelName.realesr_general_x4v3: {
-            num_in_ch=3,
+                "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth",
-            num_out_ch=3,
+                "scale": 4,
-            num_feat=64,
+                "model": lambda: SRVGGNetCompact(
-            num_block=23,
+                    num_in_ch=3,
-            num_grow_ch=32,
+                    num_out_ch=3,
-            scale=4,
+                    num_feat=64,
-        )
+                    num_conv=32,
-        url = "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth"
+                    upscale=4,
-        model_md5 = "99ec365d4afad750833258a1a24f44ca"
+                    act_type="prelu",
-        model_path = download_model(url, model_md5)
+                ),
+                "model_md5": "91a7644643c884ee00737db24e478156",
+            },
+            RealESRGANModelName.RealESRGAN_x4plus: {
+                "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth",
+                "scale": 4,
+                "model": lambda: RRDBNet(
+                    num_in_ch=3,
+                    num_out_ch=3,
+                    num_feat=64,
+                    num_block=23,
+                    num_grow_ch=32,
+                    scale=4,
+                ),
+                "model_md5": "99ec365d4afad750833258a1a24f44ca",
+            },
+            RealESRGANModelName.RealESRGAN_x4plus_anime_6B: {
+                "url": "https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth",
+                "scale": 4,
+                "model": lambda: RRDBNet(
+                    num_in_ch=3,
+                    num_out_ch=3,
+                    num_feat=64,
+                    num_block=6,
+                    num_grow_ch=32,
+                    scale=4,
+                ),
+                "model_md5": "d58ce384064ec1591c2ea7b79dbf47ba",
+            },
+        }
+        if name not in REAL_ESRGAN_MODELS:
+            raise ValueError(f"Unknown RealESRGAN model name: {name}")
+        model_info = REAL_ESRGAN_MODELS[name]
+
+        model_path = download_model(model_info["url"], model_info["model_md5"])
 
         self.model = RealESRGANer(
-            scale=scale,
+            scale=model_info["scale"],
             model_path=model_path,
-            model=model,
+            model=model_info["model"](),
             half=True if "cuda" in str(device) else False,
             tile=640,
             tile_pad=10,

lama_cleaner/server.py

@@ -423,8 +423,12 @@ def build_plugins(args):
         logger.info(f"Initialize {RemoveBG.name} plugin")
         plugins[RemoveBG.name] = RemoveBG()
     if args.enable_realesrgan:
-        logger.info(f"Initialize {RealESRGANUpscaler.name} plugin")
+        logger.info(
-        plugins[RealESRGANUpscaler.name] = RealESRGANUpscaler(args.realesrgan_device)
+            f"Initialize {RealESRGANUpscaler.name} plugin: {args.realesrgan_model}, {args.realesrgan_device}"
+        )
+        plugins[RealESRGANUpscaler.name] = RealESRGANUpscaler(
+            args.realesrgan_model, args.realesrgan_device
+        )
     if args.enable_gif:
         logger.info(f"Initialize GIF plugin")
         plugins[MakeGIF.name] = MakeGIF()