Inflation Lora Character Expansion Effect Video
Upload a character image and input your prompt. Generate an animated video where the character expands with an inflation effect.
ワークフローをダウンロードCloudで試す API ドキュメント
概要
This ComfyUI workflow, titled 'Inflation Lora Character Expansion Effect Video,' is designed to transform a static character image into an animated video with a unique inflation effect. By leveraging advanced AI models and custom nodes, this workflow allows users to input a character image and a descriptive prompt, which then guides the animation process.
The workflow utilizes the 'wan2.2 Animate' model, known for its capability to produce dynamic and visually appealing animations. Key nodes such as 'ComfyUI-WanAnimatePreprocess' and 'ComfyUI-WanVideoWrapper' are employed to preprocess the input image and wrap it into a video format, respectively.
Technically, the workflow begins with the 'VHS_LoadVideo' node to handle video input, followed by 'GetImageRangeFromBatch' and 'ImageResizeKJv2' to prepare the image for processing. Pose and face detection are achieved using 'PoseAndFaceDetection' and 'OnnxDetectionModelLoader', ensuring that the character's features are accurately identified and animated. The 'WanVideoModelLoader' and 'WanVideoLoraSelectMulti' nodes are crucial for loading the animation models and selecting the appropriate Lora settings for the inflation effect.
The workflow culminates in the 'WanVideoAnimateEmbeds' and 'WanVideoVAELoader' nodes, which generate the final animated video. This workflow is particularly useful for creating engaging content for social media, video games, or digital storytelling.
入力するもの
- ワークフローを読み込み中
ComfyUI で実行できます。 このワークフローはこのページでは実行できません。すべてが読み込まれた状態でComfy Cloudで開くか、ご自身のComfyUI用にダウンロードしてください。
Cloudで試す例
ワークフローの内部
ノードグラフの読み取り専用プレビューです。ノードを編集するには、Comfy Cloudで開くかダウンロードしてください。
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Open full-size workflow preview- 作成者
- ComfyUI
カスタムノードが必要です
- ワークフローを読み込み中
コードからこのワークフローを使用する
可能な場合はワークフローグラフと入力から生成されます。それ以外の場合は保存された例が表示されます。料金が発生する場合があるため、コードを実行する前に認証情報とエンドポイントを確認してください。
1 API キーを取得 ↗
What you need
- Runs on
- Comfy Cloud
- キー
- COMFY_API_KEY
有料の Cloud プランとクレジットが必要です。
API JSONをダウンロードAPI ドキュメント ↗
# Python 3.10+: pip install comfy-sdk==0.4.0
import os
from comfy_sdk import Comfy
api_key = os.environ.get("COMFY_API_KEY", "").strip()
if not api_key: raise RuntimeError("Set COMFY_API_KEY")
os.environ.setdefault("COMFY_BASE_URL", "https://cloud.comfy.org")
client = Comfy(api_key=api_key)
workflow = client.workflows.from_json({
"2": {
"class_type": "VHS_LoadVideo",
"inputs": {
"custom_height": 0,
"custom_width": 0,
"force_rate": 0,
"format": "AnimateDiff",
"frame_load_cap": 121,
"select_every_nth": 1,
"skip_first_frames": 0,
"video": "woman_walking.mp4"
},
"_meta": {
"title": "Load Video (Upload) 🎥🅥🅗🅢"
}
},
"11": {
"class_type": "GetImageRangeFromBatch",
"inputs": {
"images": [
"2",
0
],
"num_frames": 1,
"start_index": [
"359",
1
]
},
"_meta": {
"title": "Get Image or Mask Range From Batch"
}
},
"32": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"52",
2
],
"image": [
"358:8",
0
],
"keep_proportion": "stretch",
"pad_color": "0, 0, 0",
"upscale_method": "lanczos",
"width": [
"52",
1
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"33": {
"class_type": "PoseAndFaceDetection",
"inputs": {
"face_padding": 0,
"height": [
"52",
2
],
"images": [
"52",
0
],
"model": [
"35",
0
],
"width": [
"52",
1
]
},
"_meta": {
"title": "Pose and Face Detection"
}
},
"35": {
"class_type": "OnnxDetectionModelLoader",
"inputs": {
"onnx_device": "CUDAExecutionProvider",
"vitpose_model": "vitpose-l-wholebody.onnx",
"yolo_model": "yolov10m.onnx"
},
"_meta": {
"title": "ONNX Detection Model Loader"
}
},
"36": {
"class_type": "DrawViTPose",
"inputs": {
"body_stick_width": -1,
"draw_head": True,
"hand_stick_width": -1,
"height": [
"52",
2
],
"pose_data": [
"33",
0
],
"retarget_padding": 16,
"width": [
"52",
1
]
},
"_meta": {
"title": "Draw ViT Pose"
}
},
"43": {
"class_type": "VHS_VideoCombine",
"inputs": {
"audio": [
"2",
2
],
"crf": 10,
"filename_prefix": "INFL8/GENS/VID",
"format": "video/h264-mp4",
"frame_rate": [
"68",
0
],
"images": [
"67",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "Video Combine 🎥🅥🅗🅢"
}
},
"47": {
"class_type": "DownloadAndLoadSAM2Model",
"inputs": {
"device": "cuda",
"model": "sam2.1_hiera_large.safetensors",
"precision": "fp16",
"segmentor": "video"
},
"_meta": {
"title": "(Down)Load SAM2Model"
}
},
"48": {
"class_type": "Sam2Segmentation",
"inputs": {
"bboxes": [
"33",
3
],
"image": [
"52",
0
],
"individual_objects": False,
"keep_model_loaded": False,
"sam2_model": [
"47",
0
]
},
"_meta": {
"title": "Sam2Segmentation"
}
},
"49": {
"class_type": "BlockifyMask",
"inputs": {
"block_size": 32,
"device": "cpu",
"masks": [
"50",
0
]
},
"_meta": {
"title": "Blockify Mask"
}
},
"50": {
"class_type": "GrowMaskWithBlur",
"inputs": {
"blur_radius": 0,
"decay_factor": 1,
"expand": 40,
"fill_holes": False,
"flip_input": False,
"incremental_expandrate": 0,
"lerp_alpha": 1,
"mask": [
"48",
0
],
"tapered_corners": True
},
"_meta": {
"title": "Grow Mask With Blur"
}
},
"51": {
"class_type": "DrawMaskOnImage",
"inputs": {
"color": "0, 0, 0",
"device": "cpu",
"image": [
"52",
0
],
"mask": [
"49",
0
]
},
"_meta": {
"title": "Draw Mask On Image"
}
},
"52": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": 720,
"image": [
"2",
0
],
"keep_proportion": "crop",
"pad_color": "0, 0, 0",
"upscale_method": "lanczos",
"width": 1280
},
"_meta": {
"title": "Resize Image v2"
}
},
"53": {
"class_type": "WanVideoModelLoader",
"inputs": {
"attention_mode": "comfy",
"base_precision": "bf16",
"load_device": "offload_device",
"lora": [
"57",
0
],
"model": "wan2.2_animate_14B_bf16.safetensors",
"quantization": "disabled",
"rms_norm_function": "default"
},
"_meta": {
"title": "WanVideo Model Loader"
}
},
"57": {
"class_type": "WanVideoLoraSelectMulti",
"inputs": {
"lora_0": "lightx2v_14B_T2V_cfg_step_distill_lora_adaptive_rank_quantile_0.15_bf16.safetensors",
"lora_1": "WanAnimate_relight_lora_fp16.safetensors",
"lora_2": "none",
"lora_3": "none",
"lora_4": "none",
"low_mem_load": False,
"merge_loras": False,
"strength_0": 1,
"strength_1": 1,
"strength_2": 1,
"strength_3": 1,
"strength_4": 1
},
"_meta": {
"title": "WanVideo Lora Select Multi"
}
},
"58": {
"class_type": "WanVideoSamplerv2",
"inputs": {
"add_noise_to_samples": False,
"cfg": 1,
"force_offload": True,
"image_embeds": [
"60",
0
],
"model": [
"53",
0
],
"scheduler": [
"59",
0
],
"seed": 648178387160412,
"text_embeds": [
"65",
0
]
},
"_meta": {
"title": "WanVideo Sampler v2"
}
},
"59": {
"class_type": "WanVideoSchedulerv2",
"inputs": {
"end_step": -1,
"enhance_hf": True,
"scheduler": "dpm++_sde",
"shift": 5,
"start_step": 0,
"steps": 6
},
"_meta": {
"title": "WanVideo Scheduler v2"
}
},
"60": {
"class_type": "WanVideoAnimateEmbeds",
"inputs": {
"bg_images": [
"51",
0
],
"clip_embeds": [
"62",
0
],
"colormatch": "disabled",
"face_images": [
"33",
1
],
"face_strength": 1,
"force_offload": True,
"frame_window_size": 77,
"height": [
"52",
2
],
"mask": [
"49",
0
],
"num_frames": [
"2",
1
],
"pose_images": [
"36",
0
],
"pose_strength": 1,
"ref_images": [
"32",
0
],
"tiled_vae": False,
"vae": [
"61",
0
],
"width": [
"52",
1
]
},
"_meta": {
"title": "WanVideo Animate Embeds"
}
},
"61": {
"class_type": "WanVideoVAELoader",
"inputs": {
"model_name": "Wan2_1_VAE_fp32.safetensors",
"precision": "fp32",
"use_cpu_cache": False,
"verbose": False
},
"_meta": {
"title": "WanVideo VAE Loader"
}
},
"62": {
"class_type": "WanVideoClipVisionEncode",
"inputs": {
"clip_vision": [
"63",
0
],
"combine_embeds": "average",
"crop": "center",
"force_offload": True,
"image_1": [
"32",
0
],
"ratio": 0.5,
"strength_1": 1,
"strength_2": 1,
"tiles": 0
},
"_meta": {
"title": "WanVideo ClipVision Encode"
}
},
"63": {
"class_type": "CLIPVisionLoader",
"inputs": {
"clip_name": "clip_vision_h.safetensors"
},
"_meta": {
"title": "Load CLIP Vision"
}
},
"65": {
"class_type": "WanVideoTextEncode",
"inputs": {
"device": "gpu",
"force_offload": True,
"negative_prompt": "",
"positive_prompt": "INFL8, the inflated man is speaking on the phone",
"t5": [
"66",
0
],
"use_disk_cache": False
},
"_meta": {
"title": "WanVideo TextEncode"
}
},
"66": {
"class_type": "LoadWanVideoT5TextEncoder",
"inputs": {
"load_device": "offload_device",
"model_name": "umt5-xxl-enc-bf16.safetensors",
"precision": "fp32",
"quantization": "disabled"
},
"_meta": {
"title": "WanVideo T5 Text Encoder Loader"
}
},
"67": {
"class_type": "WanVideoDecode",
"inputs": {
"enable_vae_tiling": False,
"normalization": "default",
"samples": [
"58",
0
],
"tile_stride_x": 144,
"tile_stride_y": 128,
"tile_x": 272,
"tile_y": 272,
"vae": [
"61",
0
]
},
"_meta": {
"title": "WanVideo Decode"
}
},
"68": {
"class_type": "VHS_VideoInfo",
"inputs": {
"video_info": [
"2",
3
]
},
"_meta": {
"title": "Video Info 🎥🅥🅗🅢"
}
},
"359": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "a/2",
"values.a": [
"2",
1
]
},
"_meta": {
"title": "Math Expression"
}
},
"361": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "ComfyUI",
"images": [
"358:8",
0
]
},
"_meta": {
"title": "Save Image"
}
},
"358:12": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "qwen_image_edit_2511_bf16.safetensors",
"weight_dtype": "default"
},
"_meta": {
"title": "Load Diffusion Model"
}
},
"358:349": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "qwen_image_vae.safetensors"
},
"_meta": {
"title": "Load VAE"
}
},
"358:350": {
"class_type": "FluxKontextMultiReferenceLatentMethod",
"inputs": {
"conditioning": [
"358:352",
0
],
"reference_latents_method": "index_timestep_zero"
},
"_meta": {
"title": "Edit Model Reference Method"
}
},
"358:351": {
"class_type": "FluxKontextMultiReferenceLatentMethod",
"inputs": {
"conditioning": [
"358:353",
0
],
"reference_latents_method": "index_timestep_zero"
},
"_meta": {
"title": "Edit Model Reference Method"
}
},
"358:352": {
"class_type": "TextEncodeQwenImageEditPlus",
"inputs": {
"clip": [
"358:355",
0
],
"image1": [
"358:88",
0
],
"prompt": "",
"vae": [
"358:349",
0
]
},
"_meta": {
"title": "Text Encode Qwen Image Edit Plus"
}
},
"358:353": {
"class_type": "TextEncodeQwenImageEditPlus",
"inputs": {
"clip": [
"358:355",
0
],
"image1": [
"358:88",
0
],
"prompt": "inflate the woman",
"vae": [
"358:349",
0
]
},
"_meta": {
"title": "TextEncodeQwenImageEditPlus (Positive)"
}
},
"358:354": {
"class_type": "KSampler",
"inputs": {
"cfg": 4,
"denoise": 1,
"latent_image": [
"358:75",
0
],
"model": [
"358:64",
0
],
"negative": [
"358:350",
0
],
"positive": [
"358:351",
0
],
"sampler_name": "euler",
"scheduler": "simple",
"seed": 544553820212047,
"steps": 40
},
"_meta": {
"title": "KSampler"
}
},
"358:355": {
"class_type": "CLIPLoader",
"inputs": {
"clip_name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
"device": "default",
"type": "qwen_image"
},
"_meta": {
"title": "Load CLIP"
}
},
"358:64": {
"class_type": "CFGNorm",
"inputs": {
"model": [
"358:71",
0
],
"pre_cfg": False,
"strength": 1
},
"_meta": {
"title": "CFGNorm"
}
},
"358:71": {
"class_type": "ModelSamplingAuraFlow",
"inputs": {
"model": [
"358:90",
0
],
"sampling": "flow",
"shift": 3.1
},
"_meta": {
"title": "ModelSamplingAuraFlow"
}
},
"358:75": {
"class_type": "VAEEncode",
"inputs": {
"pixels": [
"358:88",
0
],
"vae": [
"358:349",
0
]
},
"_meta": {
"title": "VAE Encode"
}
},
"358:8": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"358:354",
0
],
"vae": [
"358:349",
0
]
},
"_meta": {
"title": "VAE Decode"
}
},
"358:88": {
"class_type": "FluxKontextImageScale",
"inputs": {
"image": [
"11",
0
]
},
"_meta": {
"title": "FluxKontextImageScale"
}
},
"358:90": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "Qwen_Image_Edit_2511-SYSTMS_INFL8.safetensors",
"model": [
"358:12",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
}
})
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)よくある質問
High-resolution character images with clear features work best to ensure accurate pose and face detection.
Yes, the 'WanVideoLoraSelectMulti' node allows you to tweak the Lora settings to adjust the effect's intensity.
This workflow is designed for post-production and may not be suitable for real-time applications due to processing requirements.
The workflow outputs standard video formats, compatible with most media players and editing software.