fofr/wan2.1-with-lora:1bebc32a – Run with an API on Replicate

Version

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fofr /wan2.1-with-lora:1bebc32a

Playground API

Input

prompt

*string

Shift + Return to add a new line

In the video, a miniature pikachu is presented. The pikachu is held in a person's hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.In the video, a miniature pikachu is presented. The pikachu is held in a person's hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.

Text prompt for video generation

negative_prompt

string

Shift + Return to add a new line

Things you do not want to see in your video

Default: ""

image

file

Image to use as a starting frame for image to video generation.

aspect_ratio

string

The aspect ratio of the video. 16:9, 9:16, 1:1, etc.

Default: "16:9"

frames

integer

The number of frames to generate (1 to 5 seconds)

Default: 81

model

string

The model to use. 1.3b is faster, but 14b is better quality. A LORA either works with 1.3b or 14b, depending on the version it was trained on.

Default: "14b"

resolution

string

The resolution of the video. 720p is not supported for 1.3b.

Default: "480p"

lora_url

string

Shift + Return to add a new line

https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensorshttps://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors

Optional: The URL of a LORA to use

lora_strength_model

number

Strength of the LORA applied to the model. 0.0 is no LORA.

Default: 1

lora_strength_clip

number

Strength of the LORA applied to the CLIP model. 0.0 is no LORA.

Default: 1

fast_mode

string

Speed up generation with different levels of acceleration. Faster modes may degrade quality somewhat. The speedup is dependent on the content, so different videos may see different speedups.

Default: "Balanced"

sample_steps

integer

(minimum: 1, maximum: 60)

Number of generation steps. Fewer steps means faster generation, at the expensive of output quality. 30 steps is sufficient for most prompts

Default: 30

sample_guide_scale

number

(minimum: 0, maximum: 10)

Higher guide scale makes prompt adherence better, but can reduce variation

Default: 5

sample_shift

number

(minimum: 0, maximum: 10)

Sample shift factor

Default: 8

seed

integer

Set a seed for reproducibility. Random by default.

Run this model in Node.js with one line of code:

npx create-replicate --model=fofr/wan2.1-with-lora

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run fofr/wan2.1-with-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/wan2.1-with-lora:1bebc32a3640c7ce70c520728365c9f939bac5805b6c76d8f6f9ffbcaf77a564",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Mfw3oD2JVarh7yhoZvMZc58dl9ORuNlSD6wCSM9oaTyQu3pZ/th6sw28afnrma0cmq5hbtrd4h8%20%281%29.png",
      model: "14b",
      frames: 81,
      prompt: "In the video, a miniature pikachu is presented. The pikachu is held in a person's hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.",
      lora_url: "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
      fast_mode: "Balanced",
      resolution: "480p",
      aspect_ratio: "16:9",
      sample_shift: 8,
      sample_steps: 30,
      negative_prompt: "",
      lora_strength_clip: 1,
      sample_guide_scale: 5,
      lora_strength_model: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run fofr/wan2.1-with-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/wan2.1-with-lora:1bebc32a3640c7ce70c520728365c9f939bac5805b6c76d8f6f9ffbcaf77a564",
    input={
        "image": "https://replicate.delivery/pbxt/Mfw3oD2JVarh7yhoZvMZc58dl9ORuNlSD6wCSM9oaTyQu3pZ/th6sw28afnrma0cmq5hbtrd4h8%20%281%29.png",
        "model": "14b",
        "frames": 81,
        "prompt": "In the video, a miniature pikachu is presented. The pikachu is held in a person's hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.",
        "lora_url": "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
        "fast_mode": "Balanced",
        "resolution": "480p",
        "aspect_ratio": "16:9",
        "sample_shift": 8,
        "sample_steps": 30,
        "negative_prompt": "",
        "lora_strength_clip": 1,
        "sample_guide_scale": 5,
        "lora_strength_model": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run fofr/wan2.1-with-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "fofr/wan2.1-with-lora:1bebc32a3640c7ce70c520728365c9f939bac5805b6c76d8f6f9ffbcaf77a564",
    "input": {
      "image": "https://replicate.delivery/pbxt/Mfw3oD2JVarh7yhoZvMZc58dl9ORuNlSD6wCSM9oaTyQu3pZ/th6sw28afnrma0cmq5hbtrd4h8%20%281%29.png",
      "model": "14b",
      "frames": 81,
      "prompt": "In the video, a miniature pikachu is presented. The pikachu is held in a person\'s hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.",
      "lora_url": "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
      "fast_mode": "Balanced",
      "resolution": "480p",
      "aspect_ratio": "16:9",
      "sample_shift": 8,
      "sample_steps": 30,
      "negative_prompt": "",
      "lora_strength_clip": 1,
      "sample_guide_scale": 5,
      "lora_strength_model": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2025-03-17T13:52:09.478085Z",
  "created_at": "2025-03-17T13:48:41.426000Z",
  "data_removed": false,
  "error": null,
  "id": "wazymds0a9rmc0cnmherdhan8m",
  "input": {
    "image": "https://replicate.delivery/pbxt/Mfw3oD2JVarh7yhoZvMZc58dl9ORuNlSD6wCSM9oaTyQu3pZ/th6sw28afnrma0cmq5hbtrd4h8%20%281%29.png",
    "model": "14b",
    "frames": 81,
    "prompt": "In the video, a miniature pikachu is presented. The pikachu is held in a person's hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.",
    "lora_url": "https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors",
    "fast_mode": "Balanced",
    "resolution": "480p",
    "aspect_ratio": "16:9",
    "sample_shift": 8,
    "sample_steps": 30,
    "negative_prompt": "",
    "lora_strength_clip": 1,
    "sample_guide_scale": 5,
    "lora_strength_model": 1
  },
  "logs": "Random seed set to: 4196143057\n{'3': {'inputs': {'seed': 4196143057, 'steps': 30, 'cfg': 5.0, 'sampler_name': 'uni_pc', 'scheduler': 'simple', 'denoise': 1, 'model': ['53', 0], 'positive': ['58', 0], 'negative': ['58', 1], 'latent_image': ['58', 2]}, 'class_type': 'KSampler', '_meta': {'title': 'KSampler'}}, '6': {'inputs': {'text': \"In the video, a miniature pikachu is presented. The pikachu is held in a person's hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.\", 'clip': ['49', 1]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Positive Prompt)'}}, '7': {'inputs': {'text': 'nsfw, ', 'clip': ['38', 0]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Negative Prompt)'}}, '8': {'inputs': {'samples': ['3', 0], 'vae': ['39', 0]}, 'class_type': 'VAEDecode', '_meta': {'title': 'VAE Decode'}}, '37': {'inputs': {'unet_name': 'wan2.1_i2v_480p_14B_bf16.safetensors', 'weight_dtype': 'default'}, 'class_type': 'UNETLoader', '_meta': {'title': 'Load Diffusion Model'}}, '38': {'inputs': {'clip_name': 'umt5_xxl_fp16.safetensors', 'type': 'wan', 'device': 'default'}, 'class_type': 'CLIPLoader', '_meta': {'title': 'Load CLIP'}}, '39': {'inputs': {'vae_name': 'wan_2.1_vae.safetensors'}, 'class_type': 'VAELoader', '_meta': {'title': 'Load VAE'}}, '48': {'inputs': {'shift': 8.0, 'model': ['49', 0]}, 'class_type': 'ModelSamplingSD3', '_meta': {'title': 'ModelSamplingSD3'}}, '49': {'inputs': {'lora_name': 'https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors', 'strength_model': 1.0, 'strength_clip': 1.0, 'model': ['54', 0], 'clip': ['38', 0]}, 'class_type': 'LoraLoader', '_meta': {'title': 'Load LoRA'}}, '50': {'inputs': {'frame_rate': 16, 'loop_count': 0, 'filename_prefix': 'R8_Wan', 'format': 'video/h264-mp4', 'pix_fmt': 'yuv420p', 'crf': 19, 'save_metadata': False, 'trim_to_audio': False, 'pingpong': False, 'save_output': True, 'images': ['8', 0]}, 'class_type': 'VHS_VideoCombine', '_meta': {'title': 'Video Combine 🎥🅥🅗🅢'}}, '53': {'inputs': {'weight': 0.2, 'model': ['48', 0], 'latent': ['58', 2]}, 'class_type': 'WanVideoEnhanceAVideoKJ', '_meta': {'title': 'WanVideo Enhance A Video (native)'}}, '54': {'inputs': {'rel_l1_thresh': 0.19, 'start_percent': 0.1, 'end_percent': 1, 'cache_device': 'offload_device', 'coefficients': 'i2v_480', 'model': ['37', 0]}, 'class_type': 'WanVideoTeaCacheKJ', '_meta': {'title': 'WanVideo Tea Cache (native)'}}, '55': {'inputs': {'image': 'image.png'}, 'class_type': 'LoadImage', '_meta': {'title': 'Load Image'}}, '56': {'inputs': {'target_size': 644, 'multiple_of': 28, 'image': ['55', 0]}, 'class_type': 'Width and height for scaling image to ideal resolution 🪴', '_meta': {'title': 'Width and height for scaling image to ideal resolution 🪴'}}, '57': {'inputs': {'width': ['56', 0], 'height': ['56', 1], 'interpolation': 'lanczos', 'method': 'stretch', 'condition': 'always', 'multiple_of': 0, 'image': ['55', 0]}, 'class_type': 'ImageResize+', '_meta': {'title': '🔧 Image Resize'}}, '58': {'inputs': {'width': ['56', 0], 'height': ['56', 1], 'length': 81, 'batch_size': 1, 'positive': ['6', 0], 'negative': ['7', 0], 'vae': ['39', 0], 'clip_vision_output': ['59', 0], 'start_image': ['57', 0]}, 'class_type': 'WanImageToVideo', '_meta': {'title': 'WanImageToVideo'}}, '59': {'inputs': {'crop': 'none', 'clip_vision': ['60', 0], 'image': ['57', 0]}, 'class_type': 'CLIPVisionEncode', '_meta': {'title': 'CLIP Vision Encode'}}, '60': {'inputs': {'clip_name': 'clip_vision_h.safetensors'}, 'class_type': 'CLIPVisionLoader', '_meta': {'title': 'Load CLIP Vision'}}}\nChecking inputs\n✅ /tmp/inputs/image.png\n====================================\nChecking weights\nConverting LoraLoader node 49 to LoraLoaderFromURL\n✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae\n✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders\n✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision\n⏳ Downloading wan2.1_i2v_480p_14B_bf16.safetensors to ComfyUI/models/diffusion_models\n✅ wan2.1_i2v_480p_14B_bf16.safetensors downloaded to ComfyUI/models/diffusion_models in 16.97s, size: 31270.88MB\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 39, title: Load VAE, class type: VAELoader\n[ComfyUI] Using pytorch attention in VAE\n[ComfyUI] Using pytorch attention in VAE\n[ComfyUI] VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16\nExecuting node 55, title: Load Image, class type: LoadImage\nExecuting node 56, title: Width and height for scaling image to ideal resolution 🪴, class type: Width and height for scaling image to ideal resolution 🪴\nExecuting node 57, title: 🔧 Image Resize, class type: ImageResize+\nExecuting node 60, title: Load CLIP Vision, class type: CLIPVisionLoader\n[ComfyUI] Requested to load CLIPVisionModelProjection\nExecuting node 59, title: CLIP Vision Encode, class type: CLIPVisionEncode\n[ComfyUI] loaded completely 141327.4875 1208.09814453125 True\nExecuting node 38, title: Load CLIP, class type: CLIPLoader\n[ComfyUI] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16\n[ComfyUI] Requested to load WanTEModel\nExecuting node 7, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode\n[ComfyUI] loaded completely 139855.3869140625 10835.4765625 True\nExecuting node 37, title: Load Diffusion Model, class type: UNETLoader\n[ComfyUI] model weight dtype torch.float16, manual cast: None\n[ComfyUI] model_type FLOW\nExecuting node 54, title: WanVideo Tea Cache (native), class type: WanVideoTeaCacheKJ\nExecuting node 49, title: Load LoRA, class type: LoraLoaderFromURL\n[ComfyUI] Requested to load WanTEModel\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\n[ComfyUI] loaded completely 139853.3869140625 10835.4765625 True\nExecuting node 58, title: WanImageToVideo, class type: WanImageToVideo\n[ComfyUI] Requested to load WanVAE\n[ComfyUI] loaded completely 125293.1650352478 242.02829551696777 True\nExecuting node 48, title: ModelSamplingSD3, class type: ModelSamplingSD3\nExecuting node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ\nExecuting node 3, title: KSampler, class type: KSampler\n[ComfyUI] Requested to load WAN21\n[ComfyUI] loaded completely 122924.54113397522 31269.802368164062 True\n[ComfyUI] Creating huggingface_cache directory within comfy\n[ComfyUI]\n[ComfyUI] 0%|          | 0/30 [00:00<?, ?it/s]\n[ComfyUI] 3%|▎         | 1/30 [00:07<03:46,  7.80s/it]\n[ComfyUI] 7%|▋         | 2/30 [00:17<04:07,  8.82s/it]\n[ComfyUI] 10%|█         | 3/30 [00:26<04:07,  9.17s/it]\n[ComfyUI] TeaCache: Initialized\n[ComfyUI]\n[ComfyUI] 13%|█▎        | 4/30 [00:38<04:25, 10.23s/it]\n[ComfyUI] 20%|██        | 6/30 [00:48<02:58,  7.44s/it]\n[ComfyUI] 23%|██▎       | 7/30 [00:58<03:06,  8.12s/it]\n[ComfyUI] 30%|███       | 9/30 [01:08<02:21,  6.74s/it]\n[ComfyUI] 37%|███▋      | 11/30 [01:18<01:55,  6.06s/it]\n[ComfyUI] 43%|████▎     | 13/30 [01:28<01:36,  5.68s/it]\n[ComfyUI] 50%|█████     | 15/30 [01:38<01:21,  5.44s/it]\n[ComfyUI] 57%|█████▋    | 17/30 [01:48<01:08,  5.30s/it]\n[ComfyUI] 63%|██████▎   | 19/30 [01:58<00:57,  5.20s/it]\n[ComfyUI] 70%|███████   | 21/30 [02:08<00:46,  5.13s/it]\n[ComfyUI] 77%|███████▋  | 23/30 [02:08<00:25,  3.57s/it]\n[ComfyUI] 80%|████████  | 24/30 [02:18<00:28,  4.71s/it]\n[ComfyUI] 87%|████████▋ | 26/30 [02:18<00:12,  3.13s/it]\n[ComfyUI] 90%|█████████ | 27/30 [02:28<00:13,  4.45s/it]\n[ComfyUI] 97%|█████████▋| 29/30 [02:38<00:04,  4.64s/it]\n[ComfyUI] 100%|██████████| 30/30 [02:48<00:00,  5.71s/it]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\n[ComfyUI] 100%|██████████| 30/30 [02:48<00:00,  5.61s/it]\n[ComfyUI] Prompt executed in 190.75 seconds\noutputs:  {'50': {'gifs': [{'filename': 'R8_Wan_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'R8_Wan_00001.png', 'fullpath': '/tmp/outputs/R8_Wan_00001.mp4'}]}}\n====================================\nR8_Wan_00001.png\nR8_Wan_00001.mp4",
  "metrics": {
    "predict_time": 208.044792774,
    "total_time": 208.052085
  },
  "output": [
    "https://replicate.delivery/xezq/OssFM33If0yBG6ODzomeaSi0jplJgF9B8VARAvSJLPGJsdZUA/R8_Wan_00001.mp4"
  ],
  "started_at": "2025-03-17T13:48:41.433292Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-4ehygtgm3yhgebi4vxzz2kbkxviabjgsxv2i4vb3sxn5o5g6qkza",
    "get": "https://api.replicate.com/v1/predictions/wazymds0a9rmc0cnmherdhan8m",
    "cancel": "https://api.replicate.com/v1/predictions/wazymds0a9rmc0cnmherdhan8m/cancel",
    "web": "https://replicate.com/p/wazymds0a9rmc0cnmherdhan8m"
  },
  "version": "1bebc32a3640c7ce70c520728365c9f939bac5805b6c76d8f6f9ffbcaf77a564"
}

Generated in

3 minutes 28 seconds

Tweak itReport

Random seed set to: 4196143057
{'3': {'inputs': {'seed': 4196143057, 'steps': 30, 'cfg': 5.0, 'sampler_name': 'uni_pc', 'scheduler': 'simple', 'denoise': 1, 'model': ['53', 0], 'positive': ['58', 0], 'negative': ['58', 1], 'latent_image': ['58', 2]}, 'class_type': 'KSampler', '_meta': {'title': 'KSampler'}}, '6': {'inputs': {'text': "In the video, a miniature pikachu is presented. The pikachu is held in a person's hands. The person then presses on the pikachu, causing a sq41sh squish effect. The person keeps pressing down on the pikachu, further showing the sq41sh squish effect.", 'clip': ['49', 1]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Positive Prompt)'}}, '7': {'inputs': {'text': 'nsfw, ', 'clip': ['38', 0]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Negative Prompt)'}}, '8': {'inputs': {'samples': ['3', 0], 'vae': ['39', 0]}, 'class_type': 'VAEDecode', '_meta': {'title': 'VAE Decode'}}, '37': {'inputs': {'unet_name': 'wan2.1_i2v_480p_14B_bf16.safetensors', 'weight_dtype': 'default'}, 'class_type': 'UNETLoader', '_meta': {'title': 'Load Diffusion Model'}}, '38': {'inputs': {'clip_name': 'umt5_xxl_fp16.safetensors', 'type': 'wan', 'device': 'default'}, 'class_type': 'CLIPLoader', '_meta': {'title': 'Load CLIP'}}, '39': {'inputs': {'vae_name': 'wan_2.1_vae.safetensors'}, 'class_type': 'VAELoader', '_meta': {'title': 'Load VAE'}}, '48': {'inputs': {'shift': 8.0, 'model': ['49', 0]}, 'class_type': 'ModelSamplingSD3', '_meta': {'title': 'ModelSamplingSD3'}}, '49': {'inputs': {'lora_name': 'https://huggingface.co/Remade-AI/Squish/resolve/main/squish_18.safetensors', 'strength_model': 1.0, 'strength_clip': 1.0, 'model': ['54', 0], 'clip': ['38', 0]}, 'class_type': 'LoraLoader', '_meta': {'title': 'Load LoRA'}}, '50': {'inputs': {'frame_rate': 16, 'loop_count': 0, 'filename_prefix': 'R8_Wan', 'format': 'video/h264-mp4', 'pix_fmt': 'yuv420p', 'crf': 19, 'save_metadata': False, 'trim_to_audio': False, 'pingpong': False, 'save_output': True, 'images': ['8', 0]}, 'class_type': 'VHS_VideoCombine', '_meta': {'title': 'Video Combine 🎥🅥🅗🅢'}}, '53': {'inputs': {'weight': 0.2, 'model': ['48', 0], 'latent': ['58', 2]}, 'class_type': 'WanVideoEnhanceAVideoKJ', '_meta': {'title': 'WanVideo Enhance A Video (native)'}}, '54': {'inputs': {'rel_l1_thresh': 0.19, 'start_percent': 0.1, 'end_percent': 1, 'cache_device': 'offload_device', 'coefficients': 'i2v_480', 'model': ['37', 0]}, 'class_type': 'WanVideoTeaCacheKJ', '_meta': {'title': 'WanVideo Tea Cache (native)'}}, '55': {'inputs': {'image': 'image.png'}, 'class_type': 'LoadImage', '_meta': {'title': 'Load Image'}}, '56': {'inputs': {'target_size': 644, 'multiple_of': 28, 'image': ['55', 0]}, 'class_type': 'Width and height for scaling image to ideal resolution 🪴', '_meta': {'title': 'Width and height for scaling image to ideal resolution 🪴'}}, '57': {'inputs': {'width': ['56', 0], 'height': ['56', 1], 'interpolation': 'lanczos', 'method': 'stretch', 'condition': 'always', 'multiple_of': 0, 'image': ['55', 0]}, 'class_type': 'ImageResize+', '_meta': {'title': '🔧 Image Resize'}}, '58': {'inputs': {'width': ['56', 0], 'height': ['56', 1], 'length': 81, 'batch_size': 1, 'positive': ['6', 0], 'negative': ['7', 0], 'vae': ['39', 0], 'clip_vision_output': ['59', 0], 'start_image': ['57', 0]}, 'class_type': 'WanImageToVideo', '_meta': {'title': 'WanImageToVideo'}}, '59': {'inputs': {'crop': 'none', 'clip_vision': ['60', 0], 'image': ['57', 0]}, 'class_type': 'CLIPVisionEncode', '_meta': {'title': 'CLIP Vision Encode'}}, '60': {'inputs': {'clip_name': 'clip_vision_h.safetensors'}, 'class_type': 'CLIPVisionLoader', '_meta': {'title': 'Load CLIP Vision'}}}
Checking inputs
✅ /tmp/inputs/image.png
====================================
Checking weights
Converting LoraLoader node 49 to LoraLoaderFromURL
✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae
✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders
✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision
⏳ Downloading wan2.1_i2v_480p_14B_bf16.safetensors to ComfyUI/models/diffusion_models
✅ wan2.1_i2v_480p_14B_bf16.safetensors downloaded to ComfyUI/models/diffusion_models in 16.97s, size: 31270.88MB
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Running workflow
[ComfyUI] got prompt
Executing node 39, title: Load VAE, class type: VAELoader
[ComfyUI] Using pytorch attention in VAE
[ComfyUI] Using pytorch attention in VAE
[ComfyUI] VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
Executing node 55, title: Load Image, class type: LoadImage
Executing node 56, title: Width and height for scaling image to ideal resolution 🪴, class type: Width and height for scaling image to ideal resolution 🪴
Executing node 57, title: 🔧 Image Resize, class type: ImageResize+
Executing node 60, title: Load CLIP Vision, class type: CLIPVisionLoader
[ComfyUI] Requested to load CLIPVisionModelProjection
Executing node 59, title: CLIP Vision Encode, class type: CLIPVisionEncode
[ComfyUI] loaded completely 141327.4875 1208.09814453125 True
Executing node 38, title: Load CLIP, class type: CLIPLoader
[ComfyUI] CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
[ComfyUI] Requested to load WanTEModel
Executing node 7, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode
[ComfyUI] loaded completely 139855.3869140625 10835.4765625 True
Executing node 37, title: Load Diffusion Model, class type: UNETLoader
[ComfyUI] model weight dtype torch.float16, manual cast: None
[ComfyUI] model_type FLOW
Executing node 54, title: WanVideo Tea Cache (native), class type: WanVideoTeaCacheKJ
Executing node 49, title: Load LoRA, class type: LoraLoaderFromURL
[ComfyUI] Requested to load WanTEModel
Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode
[ComfyUI] loaded completely 139853.3869140625 10835.4765625 True
Executing node 58, title: WanImageToVideo, class type: WanImageToVideo
[ComfyUI] Requested to load WanVAE
[ComfyUI] loaded completely 125293.1650352478 242.02829551696777 True
Executing node 48, title: ModelSamplingSD3, class type: ModelSamplingSD3
Executing node 53, title: WanVideo Enhance A Video (native), class type: WanVideoEnhanceAVideoKJ
Executing node 3, title: KSampler, class type: KSampler
[ComfyUI] Requested to load WAN21
[ComfyUI] loaded completely 122924.54113397522 31269.802368164062 True
[ComfyUI] Creating huggingface_cache directory within comfy
[ComfyUI]
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[ComfyUI] TeaCache: Initialized
[ComfyUI]
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Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine
[ComfyUI] 100%|██████████| 30/30 [02:48<00:00,  5.61s/it]
[ComfyUI] Prompt executed in 190.75 seconds
outputs:  {'50': {'gifs': [{'filename': 'R8_Wan_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4', 'frame_rate': 16.0, 'workflow': 'R8_Wan_00001.png', 'fullpath': '/tmp/outputs/R8_Wan_00001.mp4'}]}}
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R8_Wan_00001.png
R8_Wan_00001.mp4