LTX 2.3 - EditAnything - Video Editing via Prompt
This experimental workflow uses an IC LoRA to attempt to Add, Remove, Change, or Convert elements of a video. For example, you can add a dog to a scene, or change the art style.
查看工作流内部
源模板的只读预览。在 Cloud 中打开,即可查看节点并进行修改。
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Open full-size workflow preview- 输出
- 视频
- 作者
- Purz
从代码中调用该模型
以下请求使用与体验区相同的预设图和设置。每次提交都可能开始一次付费运行;如果提交结果未知,请勿自动重试。
What you need
- Runs on
- Comfy Cloud
- 密钥
- COMFY_API_KEY
- 你的文件
- 由代码根据链接上传
需要付费的 Cloud 方案和额度。
# 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({
"5060": {
"class_type": "VHS_LoadVideo",
"inputs": {
"custom_height": 0,
"custom_width": 0,
"force_rate": 0,
"format": "AnimateDiff",
"frame_load_cap": 77,
"select_every_nth": 1,
"skip_first_frames": 1,
"video": "UPLOADED_video_FILENAME"
},
"_meta": {
"title": "Load Video (Upload) 🎥🅥🅗🅢"
}
},
"5069": {
"class_type": "VHS_VideoCombine",
"inputs": {
"audio": [
"5060",
2
],
"crf": 13,
"filename_prefix": "outpaint_comparison",
"format": "video/h264-mp4",
"frame_rate": [
"5151:5137",
5
],
"images": [
"5151:5125",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "video_compare"
}
},
"5152": {
"class_type": "VHS_VideoCombine",
"inputs": {
"audio": [
"5060",
2
],
"crf": 13,
"filename_prefix": "outpaint_output",
"format": "video/h264-mp4",
"frame_rate": [
"5151:5137",
5
],
"images": [
"5151:5143",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": True,
"trim_to_audio": False
},
"_meta": {
"title": "video_output"
}
},
"5151:5097": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 1920
},
"_meta": {
"title": "target_resolution_w"
}
},
"5151:5098": {
"class_type": "PrimitiveInt",
"inputs": {
"value": 1080
},
"_meta": {
"title": "target_resolution_h"
}
},
"5151:5110": {
"class_type": "LTXVConditioning",
"inputs": {
"frame_rate": [
"5151:5137",
5
],
"negative": [
"5151:5131",
0
],
"positive": [
"5151:5138",
0
]
},
"_meta": {
"title": "LTXVConditioning"
}
},
"5151:5111": {
"class_type": "LTXVConcatAVLatent",
"inputs": {
"audio_latent": [
"5151:5121",
0
],
"video_latent": [
"5151:5142",
2
]
},
"_meta": {
"title": "Concat AV Latent"
}
},
"5151:5112": {
"class_type": "EmptyLTXVLatentVideo",
"inputs": {
"batch_size": 1,
"height": [
"5151:5098",
0
],
"length": [
"5151:5126",
2
],
"width": [
"5151:5097",
0
]
},
"_meta": {
"title": "Empty LTXV Latent Video"
}
},
"5151:5113": {
"class_type": "LTXVCropGuides",
"inputs": {
"latent": [
"5151:5114",
0
],
"negative": [
"5151:5142",
1
],
"positive": [
"5151:5142",
0
]
},
"_meta": {
"title": "LTXVCropGuides"
}
},
"5151:5114": {
"class_type": "LTXVSeparateAVLatent",
"inputs": {
"av_latent": [
"5151:5122",
0
]
},
"_meta": {
"title": "Separate AV Latent"
}
},
"5151:5115": {
"class_type": "CM_FloatToInt",
"inputs": {
"a": [
"5151:5137",
5
]
},
"_meta": {
"title": "FloatToInt"
}
},
"5151:5116": {
"class_type": "CFGGuider",
"inputs": {
"cfg": 1,
"model": [
"5151:5160",
0
],
"negative": [
"5151:5142",
1
],
"positive": [
"5151:5142",
0
]
},
"_meta": {
"title": "CFG Guider"
}
},
"5151:5117": {
"class_type": "RandomNoise",
"inputs": {
"noise_seed": 240138781299297
},
"_meta": {
"title": "RandomNoise"
}
},
"5151:5118": {
"class_type": "ManualSigmas",
"inputs": {
"sigmas": "1.0, 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0"
},
"_meta": {
"title": "ManualSigmas"
}
},
"5151:5119": {
"class_type": "KSamplerSelect",
"inputs": {
"sampler_name": "euler_ancestral"
},
"_meta": {
"title": "KSamplerSelect"
}
},
"5151:5120": {
"class_type": "LTXVPreprocess",
"inputs": {
"image": [
"5151:5136",
0
],
"img_compression": 18
},
"_meta": {
"title": "LTXV Preprocess"
}
},
"5151:5121": {
"class_type": "LTXVEmptyLatentAudio",
"inputs": {
"audio_vae": [
"5151:5132",
0
],
"batch_size": 1,
"frame_rate": [
"5151:5115",
0
],
"frames_number": [
"5060",
1
]
},
"_meta": {
"title": "Empty LTXV Latent Audio"
}
},
"5151:5122": {
"class_type": "SamplerCustomAdvanced",
"inputs": {
"guider": [
"5151:5116",
0
],
"latent_image": [
"5151:5111",
0
],
"noise": [
"5151:5117",
0
],
"sampler": [
"5151:5119",
0
],
"sigmas": [
"5151:5118",
0
]
},
"_meta": {
"title": "SamplerCustomAdvanced"
}
},
"5151:5124": {
"class_type": "LTXVAudioVAEDecode",
"inputs": {
"audio_vae": [
"5151:5132",
0
],
"samples": [
"5151:5114",
1
]
},
"_meta": {
"title": "LTXV Audio VAE Decode"
}
},
"5151:5125": {
"class_type": "ImageConcanate",
"inputs": {
"direction": "left",
"image1": [
"5151:5143",
0
],
"image2": [
"5151:5130",
0
],
"match_image_size": True
},
"_meta": {
"title": "ImageConcanate"
}
},
"5151:5126": {
"class_type": "GetImageSize",
"inputs": {
"image": [
"5151:5130",
0
]
},
"_meta": {
"title": "Get Image Size"
}
},
"5151:5127": {
"class_type": "PrimitiveBoolean",
"inputs": {
"value": True
},
"_meta": {
"title": "bypass_i2v"
}
},
"5151:5128": {
"class_type": "VAEDecodeTiled",
"inputs": {
"overlap": 64,
"temporal_overlap": 4,
"temporal_size": 512,
"tile_size": 512
},
"_meta": {
"title": "VAE Decode (Tiled)"
}
},
"5151:5129": {
"class_type": "ResizeImageMaskNode",
"inputs": {
"input": [
"5151:5139",
0
],
"resize_type": "scale by multiplier",
"resize_type.multiplier": 0.5,
"scale_method": "lanczos"
},
"_meta": {
"title": "Resize Image/Mask"
}
},
"5151:5130": {
"class_type": "ResizeImageMaskNode",
"inputs": {
"input": [
"5151:5129",
0
],
"resize_type": "scale to multiple",
"resize_type.multiple": 32,
"scale_method": "area"
},
"_meta": {
"title": "Resize Image/Mask"
}
},
"5151:5131": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"5151:5135",
0
],
"text": "pc game, console game, video game, ugly, 3d render, photo, still, static, slow"
},
"_meta": {
"title": "CLIP Text Encode (Negative Prompt)"
}
},
"5151:5132": {
"class_type": "LTXVAudioVAELoader",
"inputs": {
"ckpt_name": "ltx-2.3-22b-dev-fp8.safetensors"
},
"_meta": {
"title": "Load LTXV Audio VAE"
}
},
"5151:5133": {
"class_type": "CheckpointLoaderSimple",
"inputs": {
"ckpt_name": "ltx-2.3-22b-dev-fp8.safetensors"
},
"_meta": {
"title": "Load Checkpoint"
}
},
"5151:5134": {
"class_type": "LoraLoaderModelOnly",
"inputs": {
"lora_name": "ltx-2.3-22b-distilled-lora-384.safetensors",
"model": [
"5151:5133",
0
],
"strength_model": 1
},
"_meta": {
"title": "Load LoRA"
}
},
"5151:5135": {
"class_type": "LTXAVTextEncoderLoader",
"inputs": {
"ckpt_name": "ltx-2.3-22b-dev-fp8.safetensors",
"device": "default",
"text_encoder": "gemma_3_12B_it.safetensors"
},
"_meta": {
"title": "Load LTXV Audio Text Encoder"
}
},
"5151:5136": {
"class_type": "ResizeImageMaskNode",
"inputs": {
"input": [
"5151:5145",
0
],
"resize_type": "match size",
"resize_type.crop": "center",
"resize_type.match": [
"5151:5130",
0
],
"scale_method": "area"
},
"_meta": {
"title": "Resize Image/Mask"
}
},
"5151:5137": {
"class_type": "VHS_VideoInfo",
"inputs": {
"video_info": [
"5060",
3
]
},
"_meta": {
"title": "Video Info 🎥🅥🅗🅢"
}
},
"5151:5138": {
"class_type": "CLIPTextEncode",
"inputs": {
"clip": [
"5151:5135",
0
],
"text": "Add a large white arctic fox curled up asleep in the middle of the empty wooden floor in the foreground, its thick fluffy tail wrapped around its body and covering its nose. Its fur is dense and snowy with faint cream tones along the back, and its small dark ears twitch now and then while its side rises and falls slowly with each breath. Soft daylight from the open sky falls across its coat, casting a gentle shadow and a faint reflection on the glossy planks. Keep the room, the grass, the ceiling, the sky, the clouds and the camera movement exactly as they are."
},
"_meta": {
"title": "CLIP Text Encode (Positive Prompt)"
}
},
"5151:5139": {
"class_type": "ImagePadKJ",
"inputs": {
"bottom": 0,
"color": "0, 0, 0",
"extra_padding": 0,
"image": [
"5060",
0
],
"left": 0,
"pad_mode": "color",
"right": 0,
"target_height": [
"5151:5150",
1
],
"target_width": [
"5151:5149",
1
],
"top": 0
},
"_meta": {
"title": "ImagePad KJ"
}
},
"5151:5140": {
"class_type": "VHS_VideoCombine",
"inputs": {
"audio": [
"5060",
2
],
"crf": 12,
"filename_prefix": "AnimateDiff",
"format": "video/h264-mp4",
"frame_rate": [
"5151:5137",
5
],
"images": [
"5151:5144",
0
],
"loop_count": 0,
"pingpong": False,
"pix_fmt": "yuv420p",
"save_metadata": True,
"save_output": False,
"trim_to_audio": False
},
"_meta": {
"title": "Video Combine 🎥🅥🅗🅢"
}
},
"5151:5141": {
"class_type": "LTXVImgToVideoConditionOnly",
"inputs": {
"bypass": [
"5151:5127",
0
],
"image": [
"5151:5120",
0
],
"latent": [
"5151:5112",
0
],
"strength": 1,
"vae": [
"5151:5133",
2
]
},
"_meta": {
"title": "🅛🅣🅧 LTXV Img To Video Condition Only"
}
},
"5151:5142": {
"class_type": "LTXAddVideoICLoRAGuide",
"inputs": {
"crop": "disabled",
"frame_idx": 0,
"image": [
"5151:5144",
0
],
"latent": [
"5151:5141",
0
],
"latent_downscale_factor": 1,
"negative": [
"5151:5110",
1
],
"positive": [
"5151:5110",
0
],
"strength": 1,
"tile_frames": 97,
"tile_overlap": 64,
"tile_size": 256,
"use_streaming": False,
"use_tiled_encode": False,
"vae": [
"5151:5133",
2
]
},
"_meta": {
"title": "🅛🅣🅧 Add Video IC-LoRA Guide"
}
},
"5151:5143": {
"class_type": "Float32ColorCorrect",
"inputs": {
"brightness": 0,
"clamp_output": False,
"contrast": 1,
"exposure": 0,
"gain_b": 1,
"gain_g": 1,
"gain_r": 1,
"gamma": 0.5,
"image": [
"5151:5154",
0
],
"lift_b": 0,
"lift_g": 0,
"lift_r": 0,
"luma_space": "Rec.709 / sRGB",
"saturation": 1
},
"_meta": {
"title": "◎ Radiance Float32 Color Correct"
}
},
"5151:5144": {
"class_type": "Float32ColorCorrect",
"inputs": {
"brightness": 0,
"clamp_output": False,
"contrast": 1,
"exposure": 0,
"gain_b": 1,
"gain_g": 1,
"gain_r": 1,
"gamma": 2,
"image": [
"5151:5156",
0
],
"lift_b": 0,
"lift_g": 0,
"lift_r": 0,
"luma_space": "Rec.709 / sRGB",
"saturation": 1
},
"_meta": {
"title": "◎ Radiance Float32 Color Correct"
}
},
"5151:5145": {
"class_type": "LoadImage",
"inputs": {
"image": "642ef66b933861a25a7a8ad3b46f3a7005c783d53c3971392a84595ae4dd4b04.png"
},
"_meta": {
"title": "Load Image"
}
},
"5151:5148": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "a / b",
"values.a": [
"5151:5097",
0
],
"values.b": [
"5151:5098",
0
]
},
"_meta": {
"title": "ratio"
}
},
"5151:5149": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "max(a, b * c)",
"values.a": [
"5151:5137",
3
],
"values.b": [
"5151:5137",
4
],
"values.c": [
"5151:5148",
0
]
},
"_meta": {
"title": "target_w"
}
},
"5151:5150": {
"class_type": "ComfyMathExpression",
"inputs": {
"expression": "max(b, a / c)",
"values.a": [
"5151:5137",
3
],
"values.b": [
"5151:5137",
4
],
"values.c": [
"5151:5148",
0
]
},
"_meta": {
"title": "target_h"
}
},
"5151:5154": {
"class_type": "VAEDecode",
"inputs": {
"samples": [
"5151:5113",
2
],
"vae": [
"5151:5133",
2
]
},
"_meta": {
"title": "VAE Decode"
}
},
"5151:5156": {
"class_type": "ImageResizeKJv2",
"inputs": {
"crop_position": "center",
"device": "cpu",
"divisible_by": 2,
"height": [
"5151:5098",
0
],
"image": [
"5060",
0
],
"keep_proportion": "crop",
"pad_color": "0, 0, 0",
"upscale_method": "lanczos",
"width": [
"5151:5097",
0
]
},
"_meta": {
"title": "Resize Image v2"
}
},
"5151:5160": {
"class_type": "LTXICLoRALoaderModelOnly",
"inputs": {
"lora_name": "ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors",
"model": [
"5151:5134",
0
],
"strength_model": 1
},
"_meta": {
"title": "🅛🅣🅧 IC-LoRA Loader Model Only"
}
}
})
workflow.set_input("5060", "video", client.assets.from_url("https://comfy.org/catalog-media/f956f2d4-813b-4f7e-b600-f67e4036daa9/13e68b02-a830-4e47-a68a-79c62883bfc6"))
# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)
for output in job.get_outputs("5152"):
output.to_file(output.name)
for output in job.get_outputs("5069"):
output.to_file(output.name)试试一个示例
关于此工作流
LTX 2.3 - EditAnything is an experimental ComfyUI workflow that performs text-driven edits on existing video clips. Using an in‑context (IC) LoRA, it attempts to add, remove, replace, or restyle objects directly inside each frame without manual masking. The pipeline is simple: VHS_LoadVideo decodes your source clip into frames, a custom IC‑LoRA edit node (UUID 2e37ecc9-770a-4ac2-972c-e953901f49d3) applies the text instruction to those frames, and VHS_VideoCombine stitches the edited frames back into a video. A MarkdownNote node in the canvas provides author guidance and caveats.
Technically, the IC LoRA conditions the diffusion/edit process with your prompt so the model can infer where and how to apply changes across frames. Because the edit is prompt-only and experimental, temporal consistency will vary; shorter clips, clearer prompts, and conservative edit strength typically preserve motion and identity better. VHS_LoadVideo and VHS_VideoCombine (from VideoHelperSuite) handle robust frame I/O and encoding, so you can iterate quickly by tweaking the edit node’s prompt and strength, then re-queuing to compare results side by side.
常见问答
The in‑context LoRA conditions the edit model with your text instruction so it can infer where and how to apply changes across frames. It’s mask‑free and prompt‑driven, so clarity in your prompt and conservative strength help maintain temporal consistency.
Keep clips short (2–5 seconds), avoid hard cuts, use stable camera shots, write precise prompts, lower the edit strength for subtle changes, and keep the seed fixed while you iterate. If the background shifts, add negative prompts like “preserve background, avoid extra objects.”
No. VHS_VideoCombine outputs a silent video. If you need audio, re‑mux the original track with the edited video using a video editor or ffmpeg.
VHS_LoadVideo works with common formats (e.g., MP4, MOV, WEBM). If a file fails to load or decode reliably, transcode it to MP4 (H.264) before importing.