Readme
This model doesn't have a readme.
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run zsxkib/wan-cakeify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"zsxkib/wan-cakeify:995799f72c6f3ee1d96df4f7c6d0e5006d417aa025cbb5ad90d80ddffc68c0be",
{
input: {
image: "https://replicate.delivery/pbxt/Mh40Tagw3xWduL1PyW2FsBhvN1Dn1sbw1r47t7nnHGH0zImv/Screenshot%202025-03-19%20at%2011.24.14.png",
frames: 81,
prompt: "A cute golden retriever puppy sits peacefully in CAKEIFY style, in grass surrounded by colorful flowers. A hand wearing a black glove enters the frame holding a sharp knife. The knife slowly cuts into the puppy, revealing that it's actually a hyper-realistic prop. The knife continues slicing, exposing layers of moist sponge cake and frosting inside. The cut piece tilts slightly, showing the detailed cake interior while maintaining the puppy's realistic exterior appearance. The final shot shows the partially sliced puppy cake sitting in the grass with flowers, with one perfect slice removed revealing its delicious interior",
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
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run zsxkib/wan-cakeify using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"zsxkib/wan-cakeify:995799f72c6f3ee1d96df4f7c6d0e5006d417aa025cbb5ad90d80ddffc68c0be",
input={
"image": "https://replicate.delivery/pbxt/Mh40Tagw3xWduL1PyW2FsBhvN1Dn1sbw1r47t7nnHGH0zImv/Screenshot%202025-03-19%20at%2011.24.14.png",
"frames": 81,
"prompt": "A cute golden retriever puppy sits peacefully in CAKEIFY style, in grass surrounded by colorful flowers. A hand wearing a black glove enters the frame holding a sharp knife. The knife slowly cuts into the puppy, revealing that it's actually a hyper-realistic prop. The knife continues slicing, exposing layers of moist sponge cake and frosting inside. The cut piece tilts slightly, showing the detailed cake interior while maintaining the puppy's realistic exterior appearance. The final shot shows the partially sliced puppy cake sitting in the grass with flowers, with one perfect slice removed revealing its delicious interior",
"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.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run zsxkib/wan-cakeify 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": "995799f72c6f3ee1d96df4f7c6d0e5006d417aa025cbb5ad90d80ddffc68c0be",
"input": {
"image": "https://replicate.delivery/pbxt/Mh40Tagw3xWduL1PyW2FsBhvN1Dn1sbw1r47t7nnHGH0zImv/Screenshot%202025-03-19%20at%2011.24.14.png",
"frames": 81,
"prompt": "A cute golden retriever puppy sits peacefully in CAKEIFY style, in grass surrounded by colorful flowers. A hand wearing a black glove enters the frame holding a sharp knife. The knife slowly cuts into the puppy, revealing that it\'s actually a hyper-realistic prop. The knife continues slicing, exposing layers of moist sponge cake and frosting inside. The cut piece tilts slightly, showing the detailed cake interior while maintaining the puppy\'s realistic exterior appearance. The final shot shows the partially sliced puppy cake sitting in the grass with flowers, with one perfect slice removed revealing its delicious interior",
"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.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2025-03-20T18:09:15.566938Z",
"created_at": "2025-03-20T18:05:28.838000Z",
"data_removed": false,
"error": null,
"id": "nyhhx4adgsrme0cnpjxtv75vkw",
"input": {
"image": "https://replicate.delivery/pbxt/Mh40Tagw3xWduL1PyW2FsBhvN1Dn1sbw1r47t7nnHGH0zImv/Screenshot%202025-03-19%20at%2011.24.14.png",
"frames": 81,
"prompt": "A cute golden retriever puppy sits peacefully in CAKEIFY style, in grass surrounded by colorful flowers. A hand wearing a black glove enters the frame holding a sharp knife. The knife slowly cuts into the puppy, revealing that it's actually a hyper-realistic prop. The knife continues slicing, exposing layers of moist sponge cake and frosting inside. The cut piece tilts slightly, showing the detailed cake interior while maintaining the puppy's realistic exterior appearance. The final shot shows the partially sliced puppy cake sitting in the grass with flowers, with one perfect slice removed revealing its delicious interior",
"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: 3395008289\n2025-03-20T18:05:29Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3ec62_04/weights url=https://replicate.delivery/xezq/HZMSOwxPxXYbCBGeQhCsMD6omrKQ9jfPxA8Xj4QUSPKC5e0oA/trained_model.tar\n2025-03-20T18:05:32Z | INFO | [ Complete ] dest=/tmp/tmp3ec62_04/weights size=\"359 MB\" total_elapsed=2.855s url=https://replicate.delivery/xezq/HZMSOwxPxXYbCBGeQhCsMD6omrKQ9jfPxA8Xj4QUSPKC5e0oA/trained_model.tar\nChecking inputs\n✅ /tmp/inputs/image.png\n====================================\nChecking weights\n✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae\n✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders\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 21.29s, size: 31270.88MB\n✅ 14b_6c163d784671748856bc8aef2c1122df.safetensors exists in loras directory\n✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision\n====================================\nRunning workflow\n[ComfyUI] got prompt\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 129691.98263816834 1208.09814453125 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: LoraLoader\n[ComfyUI] Requested to load WanTEModel\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\n[ComfyUI] loaded completely 139319.35861854552 10835.4765625 True\nExecuting node 58, title: WanImageToVideo, class type: WanImageToVideo\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 122348.68833397522 31269.802368164062 True\n[ComfyUI]\n[ComfyUI] 0%| | 0/30 [00:00<?, ?it/s]\n[ComfyUI] 3%|▎ | 1/30 [00:08<03:59, 8.27s/it]\n[ComfyUI] 7%|▋ | 2/30 [00:18<04:26, 9.53s/it]\n[ComfyUI] 10%|█ | 3/30 [00:29<04:28, 9.94s/it]\n[ComfyUI] TeaCache: Initialized\n[ComfyUI]\n[ComfyUI] 13%|█▎ | 4/30 [00:41<04:48, 11.09s/it]\n[ComfyUI] 20%|██ | 6/30 [00:52<03:13, 8.08s/it]\n[ComfyUI] 23%|██▎ | 7/30 [01:03<03:22, 8.81s/it]\n[ComfyUI] 30%|███ | 9/30 [01:14<02:35, 7.38s/it]\n[ComfyUI] 33%|███▎ | 10/30 [01:14<01:52, 5.65s/it]\n[ComfyUI] 37%|███▋ | 11/30 [01:25<02:12, 6.95s/it]\n[ComfyUI] 43%|████▎ | 13/30 [01:36<01:47, 6.30s/it]\n[ComfyUI] 50%|█████ | 15/30 [01:47<01:29, 5.97s/it]\n[ComfyUI] 57%|█████▋ | 17/30 [01:58<01:15, 5.77s/it]\n[ComfyUI] 63%|██████▎ | 19/30 [02:08<01:02, 5.65s/it]\n[ComfyUI] 70%|███████ | 21/30 [02:19<00:50, 5.58s/it]\n[ComfyUI] 77%|███████▋ | 23/30 [02:19<00:26, 3.84s/it]\n[ComfyUI] 80%|████████ | 24/30 [02:30<00:30, 5.11s/it]\n[ComfyUI] 87%|████████▋ | 26/30 [02:30<00:13, 3.38s/it]\n[ComfyUI] 93%|█████████▎| 28/30 [02:41<00:08, 4.05s/it]\n[ComfyUI] 97%|█████████▋| 29/30 [02:52<00:05, 5.32s/it]\n[ComfyUI] 100%|██████████| 30/30 [03:03<00:00, 6.48s/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 [03:03<00:00, 6.10s/it]\n[ComfyUI] Prompt executed in 201.50 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": 225.990473384,
"total_time": 226.728938
},
"output": [
"https://replicate.delivery/xezq/Tf07salRJi3CKCErUxTcye86ufL60HySzXobCrysVUNWeCqRB/R8_Wan_00001.mp4"
],
"started_at": "2025-03-20T18:05:29.576464Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-oa7ydvnaqaces2l34fl67r2s363tzvxzk3bseig76arp3m3xisyq",
"get": "https://api.replicate.com/v1/predictions/nyhhx4adgsrme0cnpjxtv75vkw",
"cancel": "https://api.replicate.com/v1/predictions/nyhhx4adgsrme0cnpjxtv75vkw/cancel"
},
"version": "995799f72c6f3ee1d96df4f7c6d0e5006d417aa025cbb5ad90d80ddffc68c0be"
}
Random seed set to: 3395008289
2025-03-20T18:05:29Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3ec62_04/weights url=https://replicate.delivery/xezq/HZMSOwxPxXYbCBGeQhCsMD6omrKQ9jfPxA8Xj4QUSPKC5e0oA/trained_model.tar
2025-03-20T18:05:32Z | INFO | [ Complete ] dest=/tmp/tmp3ec62_04/weights size="359 MB" total_elapsed=2.855s url=https://replicate.delivery/xezq/HZMSOwxPxXYbCBGeQhCsMD6omrKQ9jfPxA8Xj4QUSPKC5e0oA/trained_model.tar
Checking inputs
✅ /tmp/inputs/image.png
====================================
Checking weights
✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae
✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders
⏳ 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 21.29s, size: 31270.88MB
✅ 14b_6c163d784671748856bc8aef2c1122df.safetensors exists in loras directory
✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision
====================================
Running workflow
[ComfyUI] got prompt
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 129691.98263816834 1208.09814453125 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: LoraLoader
[ComfyUI] Requested to load WanTEModel
Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode
[ComfyUI] loaded completely 139319.35861854552 10835.4765625 True
Executing node 58, title: WanImageToVideo, class type: WanImageToVideo
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 122348.68833397522 31269.802368164062 True
[ComfyUI]
[ComfyUI] 0%| | 0/30 [00:00<?, ?it/s]
[ComfyUI] 3%|▎ | 1/30 [00:08<03:59, 8.27s/it]
[ComfyUI] 7%|▋ | 2/30 [00:18<04:26, 9.53s/it]
[ComfyUI] 10%|█ | 3/30 [00:29<04:28, 9.94s/it]
[ComfyUI] TeaCache: Initialized
[ComfyUI]
[ComfyUI] 13%|█▎ | 4/30 [00:41<04:48, 11.09s/it]
[ComfyUI] 20%|██ | 6/30 [00:52<03:13, 8.08s/it]
[ComfyUI] 23%|██▎ | 7/30 [01:03<03:22, 8.81s/it]
[ComfyUI] 30%|███ | 9/30 [01:14<02:35, 7.38s/it]
[ComfyUI] 33%|███▎ | 10/30 [01:14<01:52, 5.65s/it]
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[ComfyUI] 50%|█████ | 15/30 [01:47<01:29, 5.97s/it]
[ComfyUI] 57%|█████▋ | 17/30 [01:58<01:15, 5.77s/it]
[ComfyUI] 63%|██████▎ | 19/30 [02:08<01:02, 5.65s/it]
[ComfyUI] 70%|███████ | 21/30 [02:19<00:50, 5.58s/it]
[ComfyUI] 77%|███████▋ | 23/30 [02:19<00:26, 3.84s/it]
[ComfyUI] 80%|████████ | 24/30 [02:30<00:30, 5.11s/it]
[ComfyUI] 87%|████████▋ | 26/30 [02:30<00:13, 3.38s/it]
[ComfyUI] 93%|█████████▎| 28/30 [02:41<00:08, 4.05s/it]
[ComfyUI] 97%|█████████▋| 29/30 [02:52<00:05, 5.32s/it]
[ComfyUI] 100%|██████████| 30/30 [03:03<00:00, 6.48s/it]
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine
[ComfyUI] 100%|██████████| 30/30 [03:03<00:00, 6.10s/it]
[ComfyUI] Prompt executed in 201.50 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'}]}}
====================================
R8_Wan_00001.png
R8_Wan_00001.mp4
This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model is warm. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
Choose a file from your machine
Hint: you can also drag files onto the input
Random seed set to: 3395008289
2025-03-20T18:05:29Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3ec62_04/weights url=https://replicate.delivery/xezq/HZMSOwxPxXYbCBGeQhCsMD6omrKQ9jfPxA8Xj4QUSPKC5e0oA/trained_model.tar
2025-03-20T18:05:32Z | INFO | [ Complete ] dest=/tmp/tmp3ec62_04/weights size="359 MB" total_elapsed=2.855s url=https://replicate.delivery/xezq/HZMSOwxPxXYbCBGeQhCsMD6omrKQ9jfPxA8Xj4QUSPKC5e0oA/trained_model.tar
Checking inputs
✅ /tmp/inputs/image.png
====================================
Checking weights
✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae
✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders
⏳ 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 21.29s, size: 31270.88MB
✅ 14b_6c163d784671748856bc8aef2c1122df.safetensors exists in loras directory
✅ clip_vision_h.safetensors exists in ComfyUI/models/clip_vision
====================================
Running workflow
[ComfyUI] got prompt
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 129691.98263816834 1208.09814453125 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: LoraLoader
[ComfyUI] Requested to load WanTEModel
Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode
[ComfyUI] loaded completely 139319.35861854552 10835.4765625 True
Executing node 58, title: WanImageToVideo, class type: WanImageToVideo
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 122348.68833397522 31269.802368164062 True
[ComfyUI]
[ComfyUI] 0%| | 0/30 [00:00<?, ?it/s]
[ComfyUI] 3%|▎ | 1/30 [00:08<03:59, 8.27s/it]
[ComfyUI] 7%|▋ | 2/30 [00:18<04:26, 9.53s/it]
[ComfyUI] 10%|█ | 3/30 [00:29<04:28, 9.94s/it]
[ComfyUI] TeaCache: Initialized
[ComfyUI]
[ComfyUI] 13%|█▎ | 4/30 [00:41<04:48, 11.09s/it]
[ComfyUI] 20%|██ | 6/30 [00:52<03:13, 8.08s/it]
[ComfyUI] 23%|██▎ | 7/30 [01:03<03:22, 8.81s/it]
[ComfyUI] 30%|███ | 9/30 [01:14<02:35, 7.38s/it]
[ComfyUI] 33%|███▎ | 10/30 [01:14<01:52, 5.65s/it]
[ComfyUI] 37%|███▋ | 11/30 [01:25<02:12, 6.95s/it]
[ComfyUI] 43%|████▎ | 13/30 [01:36<01:47, 6.30s/it]
[ComfyUI] 50%|█████ | 15/30 [01:47<01:29, 5.97s/it]
[ComfyUI] 57%|█████▋ | 17/30 [01:58<01:15, 5.77s/it]
[ComfyUI] 63%|██████▎ | 19/30 [02:08<01:02, 5.65s/it]
[ComfyUI] 70%|███████ | 21/30 [02:19<00:50, 5.58s/it]
[ComfyUI] 77%|███████▋ | 23/30 [02:19<00:26, 3.84s/it]
[ComfyUI] 80%|████████ | 24/30 [02:30<00:30, 5.11s/it]
[ComfyUI] 87%|████████▋ | 26/30 [02:30<00:13, 3.38s/it]
[ComfyUI] 93%|█████████▎| 28/30 [02:41<00:08, 4.05s/it]
[ComfyUI] 97%|█████████▋| 29/30 [02:52<00:05, 5.32s/it]
[ComfyUI] 100%|██████████| 30/30 [03:03<00:00, 6.48s/it]
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine
[ComfyUI] 100%|██████████| 30/30 [03:03<00:00, 6.10s/it]
[ComfyUI] Prompt executed in 201.50 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'}]}}
====================================
R8_Wan_00001.png
R8_Wan_00001.mp4