add depth controlnet

lama_cleaner/const.py

@@ -60,6 +60,7 @@ SD_CONTROLNET_CHOICES = [
     "control_v11p_sd15_canny",
     "control_v11p_sd15_openpose",
     "control_v11p_sd15_inpaint",
+    "control_v11f1p_sd15_depth"
 ]
 
 SD_LOCAL_MODEL_HELP = """

lama_cleaner/model/controlnet.py

@@ -68,6 +68,7 @@ def load_from_local_model(
 
     logger.info(f"Converting {local_model_path} to diffusers controlnet pipeline")
 
+    try:
         pipe = download_from_original_stable_diffusion_ckpt(
             local_model_path,
             num_in_channels=4 if is_native_control_inpaint else 9,
@@ -75,6 +76,20 @@ def load_from_local_model(
             device="cpu",
             load_safety_checker=False,
         )
+    except Exception as e:
+        err_msg = str(e)
+        logger.exception(e)
+        if is_native_control_inpaint and "[320, 9, 3, 3]" in err_msg:
+            logger.error(
+                "control_v11p_sd15_inpaint method requires normal SD model, not inpainting SD model"
+            )
+        if not is_native_control_inpaint and "[320, 4, 3, 3]" in err_msg:
+            logger.error(
+                f"{controlnet.config['_name_or_path']} method requires inpainting SD model, "
+                f"you can convert any SD model to inpainting model in AUTO1111: \n"
+                f"https://www.reddit.com/r/StableDiffusion/comments/zyi24j/how_to_turn_any_model_into_an_inpainting_model/"
+            )
+        exit(-1)
 
     inpaint_pipe = pipe_class(
         vae=pipe.vae,
@@ -203,7 +218,7 @@ class ControlNet(DiffusionInpaintModel):
                 negative_prompt=config.negative_prompt,
                 generator=torch.manual_seed(config.sd_seed),
                 output_type="np.array",
-                callback=self.callback
+                callback=self.callback,
             ).images[0]
         else:
             if "canny" in self.sd_controlnet_method:
@@ -219,6 +234,17 @@ class ControlNet(DiffusionInpaintModel):
 
                 processor = OpenposeDetector.from_pretrained("lllyasviel/ControlNet")
                 control_image = processor(image, hand_and_face=True)
+            elif "depth" in self.sd_controlnet_method:
+                from transformers import pipeline
+
+                depth_estimator = pipeline("depth-estimation")
+                depth_image = depth_estimator(PIL.Image.fromarray(image))["depth"]
+                depth_image = np.array(depth_image)
+                depth_image = depth_image[:, :, None]
+                depth_image = np.concatenate(
+                    [depth_image, depth_image, depth_image], axis=2
+                )
+                control_image = PIL.Image.fromarray(depth_image)
             else:
                 raise NotImplementedError(
                     f"{self.sd_controlnet_method} not implemented"

lama_cleaner/schema.py

@@ -96,5 +96,5 @@ class Config(BaseModel):
     p2p_guidance_scale: float = 7.5
 
     # ControlNet
-    controlnet_conditioning_scale: float = 1.0
+    controlnet_conditioning_scale: float = 0.4
     controlnet_method: str = "control_v11p_sd15_canny"

lama_cleaner/tests/test_controlnet.py

@@ -44,7 +44,21 @@ def test_runway_sd_1_5(
         sd_cpu_textencoder=cpu_textencoder,
         sd_controlnet_method=sd_controlnet_method,
     )
-    cfg = get_config(strategy, prompt="a fox sitting on a bench", sd_steps=sd_steps)
+
+    controlnet_conditioning_scale = {
+        "control_v11p_sd15_canny": 0.4,
+        "control_v11p_sd15_openpose": 0.4,
+        "control_v11p_sd15_inpaint": 1.0,
+        "control_v11f1p_sd15_depth": 1.0,
+    }[sd_controlnet_method]
+
+    cfg = get_config(
+        strategy,
+        prompt="a fox sitting on a bench",
+        sd_steps=sd_steps,
+        controlnet_conditioning_scale=controlnet_conditioning_scale,
+        controlnet_method=sd_controlnet_method,
+    )
     cfg.sd_sampler = sampler
 
     name = f"device_{sd_device}_{sampler}_cpu_textencoder_disable_nsfw"
@@ -85,6 +99,7 @@ def test_local_file_path(sd_device, sampler):
         HDStrategy.ORIGINAL,
         prompt="a fox sitting on a bench",
         sd_steps=sd_steps,
+        controlnet_method="control_v11p_sd15_canny",
     )
     cfg.sd_sampler = sampler
 
@@ -126,6 +141,7 @@ def test_local_file_path_controlnet_native_inpainting(sd_device, sampler):
         sd_steps=sd_steps,
         controlnet_conditioning_scale=1.0,
         sd_strength=1.0,
+        controlnet_method="control_v11p_sd15_inpaint",
     )
     cfg.sd_sampler = sampler