shridharathi / glass-face-vid

{
  "frames": 81,
  "prompt": "GLASS style, glass face of a girl with rainbow prism glass lighting",
  "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
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run shridharathi/glass-face-vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "shridharathi/glass-face-vid:6d6011bef3767067cb5eb16237b80944c7910ae9145d58bbdc87f9fbbc269c69",
  {
    input: {
      frames: 81,
      prompt: "GLASS style, glass face of a girl with rainbow prism glass lighting",
      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

Import the client:

import replicate

Run shridharathi/glass-face-vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "shridharathi/glass-face-vid:6d6011bef3767067cb5eb16237b80944c7910ae9145d58bbdc87f9fbbc269c69",
    input={
        "frames": 81,
        "prompt": "GLASS style, glass face of a girl with rainbow prism glass lighting",
        "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.

Run shridharathi/glass-face-vid 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": "shridharathi/glass-face-vid:6d6011bef3767067cb5eb16237b80944c7910ae9145d58bbdc87f9fbbc269c69",
    "input": {
      "frames": 81,
      "prompt": "GLASS style, glass face of a girl with rainbow prism glass lighting",
      "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": "2025-03-28T06:15:05.064623Z",
  "created_at": "2025-03-28T06:12:17.244000Z",
  "data_removed": false,
  "error": null,
  "id": "vf9spr9tvhrm80cnvdgs7gcjsr",
  "input": {
    "frames": 81,
    "prompt": "GLASS style, glass face of a girl with rainbow prism glass lighting",
    "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: 2425086395\n✅ 14b_d250a7c3d7cb8a92a384093a122a8339.safetensors already cached\nChecking inputs\n====================================\nChecking weights\n✅ 14b_d250a7c3d7cb8a92a384093a122a8339.safetensors exists in loras directory\n✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae\n✅ wan2.1_t2v_14B_bf16.safetensors exists in ComfyUI/models/diffusion_models\n✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders\n====================================\nRunning workflow\n[ComfyUI] got prompt\nExecuting node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode\nExecuting node 3, title: KSampler, class type: KSampler\n[ComfyUI]\n[ComfyUI] 0%|          | 0/30 [00:00<?, ?it/s]\n[ComfyUI] Resetting TeaCache state\n[ComfyUI]\n[ComfyUI] 3%|▎         | 1/30 [00:06<03:11,  6.62s/it]\n[ComfyUI] 7%|▋         | 2/30 [00:16<03:51,  8.26s/it]\n[ComfyUI] 10%|█         | 3/30 [00:25<03:58,  8.82s/it]\n[ComfyUI] TeaCache: Initialized\n[ComfyUI]\n[ComfyUI] 13%|█▎        | 4/30 [00:37<04:26, 10.27s/it]\n[ComfyUI] 20%|██        | 6/30 [00:47<02:57,  7.41s/it]\n[ComfyUI] 27%|██▋       | 8/30 [00:57<02:19,  6.32s/it]\n[ComfyUI] 33%|███▎      | 10/30 [01:07<01:55,  5.77s/it]\n[ComfyUI] 40%|████      | 12/30 [01:17<01:38,  5.46s/it]\n[ComfyUI] 47%|████▋     | 14/30 [01:26<01:24,  5.27s/it]\n[ComfyUI] 53%|█████▎    | 16/30 [01:36<01:11,  5.14s/it]\n[ComfyUI] 60%|██████    | 18/30 [01:46<01:00,  5.06s/it]\n[ComfyUI] 67%|██████▋   | 20/30 [01:56<00:50,  5.01s/it]\n[ComfyUI] 73%|███████▎  | 22/30 [02:05<00:39,  4.97s/it]\n[ComfyUI] 80%|████████  | 24/30 [02:15<00:29,  4.94s/it]\n[ComfyUI] 87%|████████▋ | 26/30 [02:25<00:19,  4.92s/it]\n[ComfyUI] 93%|█████████▎| 28/30 [02:35<00:09,  4.91s/it]\n[ComfyUI] 100%|██████████| 30/30 [02:44<00:00,  4.90s/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 [02:44<00:00,  5.50s/it]\n[ComfyUI] Prompt executed in 167.65 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": 167.813199228,
    "total_time": 167.820623
  },
  "output": [
    "https://replicate.delivery/xezq/qw2eM2fXGov7KEvNJTUUV3SX6oolPyPDGk0u2HJa3lYpBf5oA/R8_Wan_00001.mp4"
  ],
  "started_at": "2025-03-28T06:12:17.251423Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-i252yfavla3wxzmeateiouf2styirp2lsock6elepinmfz2jpqwa",
    "get": "https://api.replicate.com/v1/predictions/vf9spr9tvhrm80cnvdgs7gcjsr",
    "cancel": "https://api.replicate.com/v1/predictions/vf9spr9tvhrm80cnvdgs7gcjsr/cancel"
  },
  "version": "6d6011bef3767067cb5eb16237b80944c7910ae9145d58bbdc87f9fbbc269c69"
}

Generated in

2 minutes 48 seconds

Tweak it Share Report

Random seed set to: 2425086395
✅ 14b_d250a7c3d7cb8a92a384093a122a8339.safetensors already cached
Checking inputs
====================================
Checking weights
✅ 14b_d250a7c3d7cb8a92a384093a122a8339.safetensors exists in loras directory
✅ wan_2.1_vae.safetensors exists in ComfyUI/models/vae
✅ wan2.1_t2v_14B_bf16.safetensors exists in ComfyUI/models/diffusion_models
✅ umt5_xxl_fp16.safetensors exists in ComfyUI/models/text_encoders
====================================
Running workflow
[ComfyUI] got prompt
Executing node 6, title: CLIP Text Encode (Positive Prompt), class type: CLIPTextEncode
Executing node 3, title: KSampler, class type: KSampler
[ComfyUI]
[ComfyUI] 0%|          | 0/30 [00:00<?, ?it/s]
[ComfyUI] Resetting TeaCache state
[ComfyUI]
[ComfyUI] 3%|▎         | 1/30 [00:06<03:11,  6.62s/it]
[ComfyUI] 7%|▋         | 2/30 [00:16<03:51,  8.26s/it]
[ComfyUI] 10%|█         | 3/30 [00:25<03:58,  8.82s/it]
[ComfyUI] TeaCache: Initialized
[ComfyUI]
[ComfyUI] 13%|█▎        | 4/30 [00:37<04:26, 10.27s/it]
[ComfyUI] 20%|██        | 6/30 [00:47<02:57,  7.41s/it]
[ComfyUI] 27%|██▋       | 8/30 [00:57<02:19,  6.32s/it]
[ComfyUI] 33%|███▎      | 10/30 [01:07<01:55,  5.77s/it]
[ComfyUI] 40%|████      | 12/30 [01:17<01:38,  5.46s/it]
[ComfyUI] 47%|████▋     | 14/30 [01:26<01:24,  5.27s/it]
[ComfyUI] 53%|█████▎    | 16/30 [01:36<01:11,  5.14s/it]
[ComfyUI] 60%|██████    | 18/30 [01:46<01:00,  5.06s/it]
[ComfyUI] 67%|██████▋   | 20/30 [01:56<00:50,  5.01s/it]
[ComfyUI] 73%|███████▎  | 22/30 [02:05<00:39,  4.97s/it]
[ComfyUI] 80%|████████  | 24/30 [02:15<00:29,  4.94s/it]
[ComfyUI] 87%|████████▋ | 26/30 [02:25<00:19,  4.92s/it]
[ComfyUI] 93%|█████████▎| 28/30 [02:35<00:09,  4.91s/it]
[ComfyUI] 100%|██████████| 30/30 [02:44<00:00,  4.90s/it]
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 50, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine
[ComfyUI] 100%|██████████| 30/30 [02:44<00:00,  5.50s/it]
[ComfyUI] Prompt executed in 167.65 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

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