add diffutoon

README.md

@@ -54,25 +54,37 @@ Generate images with Stable Diffusion XL Turbo. You can see `examples/sdxl_turbo
 |-|-|
 |![black_car](https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/7fbfd803-68d4-44f3-8713-8c925fec47d0)|![black_car_to_red_car](https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/aaf886e4-c33c-4fd8-98e2-29eef117ba00)|
 
-### Example 4: Toon Shading
+### Example 4: Toon Shading (Diffutoon)
 
-A very interesting example. Please see `examples/sd_toon_shading.py` for more details.
+This example is implemented based on [Diffutoon](https://arxiv.org/abs/2401.16224). This approach is adept for rendering high-resoluton videos with rapid motion. You can easily modify the parameters in the config dict.
+
+https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/b54c05c5-d747-4709-be5e-b39af82404dd
+
+### Example 5: Toon Shading with Editing Signals (Diffutoon)
+
+Coming soon.
+
+https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/20528af5-5100-474a-8cdc-440b9efdd86c
+
+### Example 6: Toon Shading (in native Python code)
+
+This example is provided for developers. If you don't want to use the config to manage parameters, you can see `examples/sd_toon_shading.py` to learn how to use it in native Python code.
 
 https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/607c199b-6140-410b-a111-3e4ffb01142c
 
-### Example 5: Text to Video
+### Example 7: Text to Video
 
 Given a prompt, DiffSynth Studio can generate a video using a Stable Diffusion model and an AnimateDiff model. We can break the limitation of number of frames! See `examples/sd_text_to_video.py`.
 
 https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/8f556355-4079-4445-9b48-e9da77699437
 
-### Example 6: Video Stylization
+### Example 8: Video Stylization
 
 We provide an example for video stylization. In this pipeline, the rendered video is completely different from the original video, thus we need a powerful deflickering algorithm. We use FastBlend to implement the deflickering module. Please see `examples/sd_video_rerender.py` for more details.
 
 https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/59fb2f7b-8de0-4481-b79f-0c3a7361a1ea
 
-### Example 7: Prompt Processing
+### Example 9: Prompt Processing
 
 If you are not native English user, we provide translation service for you. Our prompter can translate other language to English and refine it using "BeautifulPrompt" models. Please see `examples/sd_prompt_refining.py` for more details.
 

examples/diffutoon_toon_shading.py

@@ -0,0 +1,94 @@
+from diffsynth import SDVideoPipelineRunner
+
+
+# Download models
+# `models/stable_diffusion/aingdiffusion_v12.safetensors`: [link](https://civitai.com/api/download/models/229575)
+# `models/AnimateDiff/mm_sd_v15_v2.ckpt`: [link](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt)
+# `models/ControlNet/control_v11p_sd15_lineart.pth`: [link](https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth)
+# `models/ControlNet/control_v11f1e_sd15_tile.pth`: [link](https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile.pth)
+# `models/Annotators/sk_model.pth`: [link](https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model.pth)
+# `models/Annotators/sk_model2.pth`: [link](https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model2.pth)
+# `models/textual_inversion/verybadimagenegative_v1.3.pt`: [link](https://civitai.com/api/download/models/25820?type=Model&format=PickleTensor&size=full&fp=fp16)
+
+# The original video in the example is https://www.bilibili.com/video/BV1iG411a7sQ/.
+
+config = {
+    "models": {
+        "model_list": [
+            "models/stable_diffusion/aingdiffusion_v12.safetensors",
+            "models/AnimateDiff/mm_sd_v15_v2.ckpt",
+            "models/ControlNet/control_v11f1e_sd15_tile.pth",
+            "models/ControlNet/control_v11p_sd15_lineart.pth"
+        ],
+        "textual_inversion_folder": "models/textual_inversion",
+        "device": "cuda",
+        "lora_alphas": [],
+        "controlnet_units": [
+            {
+                "processor_id": "tile",
+                "model_path": "models/ControlNet/control_v11f1e_sd15_tile.pth",
+                "scale": 0.5
+            },
+            {
+                "processor_id": "lineart",
+                "model_path": "models/ControlNet/control_v11p_sd15_lineart.pth",
+                "scale": 0.5
+            }
+        ]
+    },
+    "data": {
+        "input_frames": {
+            "video_file": "data/examples/diffutoon/input_video.mp4",
+            "image_folder": None,
+            "height": 1536,
+            "width": 1536,
+            "start_frame_id": 0,
+            "end_frame_id": 30
+        },
+        "controlnet_frames": [
+            {
+                "video_file": "data/examples/diffutoon/input_video.mp4",
+                "image_folder": None,
+                "height": 1536,
+                "width": 1536,
+                "start_frame_id": 0,
+                "end_frame_id": 30
+            },
+            {
+                "video_file": "data/examples/diffutoon/input_video.mp4",
+                "image_folder": None,
+                "height": 1536,
+                "width": 1536,
+                "start_frame_id": 0,
+                "end_frame_id": 30
+            }
+        ],
+        "output_folder": "data/examples/diffutoon/output",
+        "fps": 30
+    },
+    "pipeline": {
+        "seed": 0,
+        "pipeline_inputs": {
+            "prompt": "best quality, perfect anime illustration, light, a girl is dancing, smile, solo",
+            "negative_prompt": "verybadimagenegative_v1.3",
+            "cfg_scale": 7.0,
+            "clip_skip": 2,
+            "denoising_strength": 1.0,
+            "num_inference_steps": 10,
+            "animatediff_batch_size": 16,
+            "animatediff_stride": 8,
+            "unet_batch_size": 1,
+            "controlnet_batch_size": 1,
+            "cross_frame_attention": False,
+            # The following parameters will be overwritten. You don't need to modify them.
+            "input_frames": [],
+            "num_frames": 30,
+            "width": 1536,
+            "height": 1536,
+            "controlnet_frames": []
+        }
+    }
+}
+
+runner = SDVideoPipelineRunner()
+runner.run(config)