piyushk52/ad_interpolation:4a478c65 – Run with an API on Replicate

Version

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piyushk52 /ad_interpolation:4a478c65

Playground API

Input

positive_prompt

*string

Shift + Return to add a new line

Positive Prompt

negative_prompt

*string

Shift + Return to add a new line

Negative Prompt

image_dimension

string

Select image dimenstions

Default: "512x512"

starting_image_path

*file

Preview

Starting Image

ending_image_path

*file

Preview

Ending Image

seed

integer

Sampling seed

Default: -1

sampling_steps

integer

Sampling steps

Default: 30

cfg

number

(minimum: 0, maximum: 30)

Interpolation sampler cfg

Default: 8

motion_module

string

Select a Motion Model

Default: "mm_sd_v14.ckpt"

model

string

Select a Module

Default: "Counterfeit-V3.0_fp32.safetensors"

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

npx create-replicate --model=piyushk52/ad_interpolation

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 piyushk52/ad_interpolation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "piyushk52/ad_interpolation:4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624",
  {
    input: {
      cfg: 8,
      seed: -1,
      model: "Counterfeit-V3.0_fp32.safetensors",
      motion_module: "mm_sd_v14.ckpt",
      sampling_steps: 30,
      image_dimension: "512x512",
      negative_prompt: "bad image",
      positive_prompt: "griffith from berserk",
      ending_image_path: "https://replicate.delivery/pbxt/JahtwWIg1pSfCueWjRn8UQxuc6jS2gJB0Mkp801O2j1rSewh/22.jpg",
      starting_image_path: "https://replicate.delivery/pbxt/JahtwPCw6Yue2fWWSjjwyovgWnnJwQsOCWPJ0s1ggh1XtPsN/21.jpg"
    }
  }
);
console.log(output);

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 piyushk52/ad_interpolation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "piyushk52/ad_interpolation:4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624",
    input={
        "cfg": 8,
        "seed": -1,
        "model": "Counterfeit-V3.0_fp32.safetensors",
        "motion_module": "mm_sd_v14.ckpt",
        "sampling_steps": 30,
        "image_dimension": "512x512",
        "negative_prompt": "bad image",
        "positive_prompt": "griffith from berserk",
        "ending_image_path": "https://replicate.delivery/pbxt/JahtwWIg1pSfCueWjRn8UQxuc6jS2gJB0Mkp801O2j1rSewh/22.jpg",
        "starting_image_path": "https://replicate.delivery/pbxt/JahtwPCw6Yue2fWWSjjwyovgWnnJwQsOCWPJ0s1ggh1XtPsN/21.jpg"
    }
)
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 piyushk52/ad_interpolation 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": "4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624",
    "input": {
      "cfg": 8,
      "seed": -1,
      "model": "Counterfeit-V3.0_fp32.safetensors",
      "motion_module": "mm_sd_v14.ckpt",
      "sampling_steps": 30,
      "image_dimension": "512x512",
      "negative_prompt": "bad image",
      "positive_prompt": "griffith from berserk",
      "ending_image_path": "https://replicate.delivery/pbxt/JahtwWIg1pSfCueWjRn8UQxuc6jS2gJB0Mkp801O2j1rSewh/22.jpg",
      "starting_image_path": "https://replicate.delivery/pbxt/JahtwPCw6Yue2fWWSjjwyovgWnnJwQsOCWPJ0s1ggh1XtPsN/21.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-10-05T13:07:29.160695Z",
  "created_at": "2023-10-05T13:03:10.731367Z",
  "data_removed": false,
  "error": null,
  "id": "pzh4aa3bb65vhtqcvvpvegfjhy",
  "input": {
    "cfg": 8,
    "seed": -1,
    "model": "Counterfeit-V3.0_fp32.safetensors",
    "motion_module": "mm_sd_v14.ckpt",
    "sampling_steps": 30,
    "image_dimension": "512x512",
    "negative_prompt": "bad image",
    "positive_prompt": "griffith from berserk",
    "ending_image_path": "https://replicate.delivery/pbxt/JahtwWIg1pSfCueWjRn8UQxuc6jS2gJB0Mkp801O2j1rSewh/22.jpg",
    "starting_image_path": "https://replicate.delivery/pbxt/JahtwPCw6Yue2fWWSjjwyovgWnnJwQsOCWPJ0s1ggh1XtPsN/21.jpg"
  },
  "logs": "got prompt\nmodel_type EPS\nadm 0\nmaking attention of type 'vanilla-pytorch' with 512 in_channels\nWorking with z of shape (1, 4, 32, 32) = 4096 dimensions.\nmaking attention of type 'vanilla-pytorch' with 512 in_channels\nmissing {'cond_stage_model.logit_scale', 'cond_stage_model.text_projection'}\nleft over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'cond_stage_model.transformer.text_model.embeddings.position_ids', 'log_one_minus_alphas_cumprod', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod'])\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Loading motion module mm_sd_v14.ckpt\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Using fp16, converting motion module to fp16\nloading new\n/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()\nreturn self.fget.__get__(instance, owner)()\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[] []\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Regular AnimateDiff activated - latents passed in (16) less or equal to context_length None.\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Injecting motion module mm_sd_v14.ckpt version v1.\nloading new\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:02<00:45,  2.41s/it]\n 10%|█         | 2/20 [00:04<00:40,  2.24s/it]\n 15%|█▌        | 3/20 [00:06<00:37,  2.19s/it]\n 20%|██        | 4/20 [00:08<00:34,  2.16s/it]\n 25%|██▌       | 5/20 [00:10<00:32,  2.15s/it]\n 30%|███       | 6/20 [00:13<00:29,  2.14s/it]\n 35%|███▌      | 7/20 [00:15<00:27,  2.13s/it]\n 40%|████      | 8/20 [00:17<00:25,  2.13s/it]\n 45%|████▌     | 9/20 [00:19<00:23,  2.13s/it]\n 50%|█████     | 10/20 [00:21<00:21,  2.13s/it]\n 55%|█████▌    | 11/20 [00:23<00:19,  2.13s/it]\n 60%|██████    | 12/20 [00:25<00:17,  2.13s/it]\n 65%|██████▌   | 13/20 [00:27<00:14,  2.14s/it]\n 70%|███████   | 14/20 [00:30<00:12,  2.13s/it]\n 75%|███████▌  | 15/20 [00:32<00:10,  2.13s/it]\n 80%|████████  | 16/20 [00:34<00:08,  2.20s/it]\n 85%|████████▌ | 17/20 [00:36<00:06,  2.18s/it]\n 90%|█████████ | 18/20 [00:38<00:04,  2.16s/it]\n 95%|█████████▌| 19/20 [00:40<00:02,  2.16s/it]\n100%|██████████| 20/20 [00:43<00:00,  2.15s/it]\n100%|██████████| 20/20 [00:43<00:00,  2.15s/it]\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Ejecting motion module mm_sd_v14.ckpt version v1.\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Cleaning motion module from unet.\n[AnimateDiffEvo] - \u001b[0;32mINFO\u001b[0m - Removing motion module mm_sd_v14.ckpt from cache\n/src/ComfyUI/comfy/model_base.py:47: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\nself.register_buffer('betas', torch.tensor(betas, dtype=torch.float32))\n/src/ComfyUI/comfy/model_base.py:48: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\nself.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32))\nmaking attention of type 'vanilla-pytorch' with 512 in_channels\nWorking with z of shape (1, 4, 32, 32) = 4096 dimensions.\nmaking attention of type 'vanilla-pytorch' with 512 in_channels\nPrompt executed in 63.46 seconds\nnode output:  {'gifs': [{'filename': 'Enabled_00002_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]}\nnode output:  {'images': [{'filename': 'ComfyUI_temp_mixfi_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00016_.png', 'subfolder': '', 'type': 'temp'}]}\nnode output:  {'gifs': [{'filename': 'Enabled_00002_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]}\nnode output:  {'images': [{'filename': 'ComfyUI_temp_mixfi_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00016_.png', 'subfolder': '', 'type': 'temp'}]}\n************* final video output:  ./ComfyUI/output/Enabled_00002_.gif",
  "metrics": {
    "predict_time": 66.060558,
    "total_time": 258.429328
  },
  "output": "https://replicate.delivery/pbxt/ZLr4kTtwCA4UIpPYQCQO3RZkqrg0uScnb0NhCvPBH6FEnxaE/Enabled_00002_.gif",
  "started_at": "2023-10-05T13:06:23.100137Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/pzh4aa3bb65vhtqcvvpvegfjhy",
    "cancel": "https://api.replicate.com/v1/predictions/pzh4aa3bb65vhtqcvvpvegfjhy/cancel"
  },
  "version": "4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624"
}

Generated in

66.1 seconds

Tweak itReport

got prompt
model_type EPS
adm 0
making attention of type 'vanilla-pytorch' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla-pytorch' with 512 in_channels
missing {'cond_stage_model.logit_scale', 'cond_stage_model.text_projection'}
left over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'cond_stage_model.transformer.text_model.embeddings.position_ids', 'log_one_minus_alphas_cumprod', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod'])
[AnimateDiffEvo] - INFO - Loading motion module mm_sd_v14.ckpt
[AnimateDiffEvo] - INFO - Using fp16, converting motion module to fp16
loading new
/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
[] []
[] []
[] []
[] []
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[] []
[] []
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[AnimateDiffEvo] - INFO - Regular AnimateDiff activated - latents passed in (16) less or equal to context_length None.
[AnimateDiffEvo] - INFO - Injecting motion module mm_sd_v14.ckpt version v1.
loading new
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[AnimateDiffEvo] - INFO - Ejecting motion module mm_sd_v14.ckpt version v1.
[AnimateDiffEvo] - INFO - Cleaning motion module from unet.
[AnimateDiffEvo] - INFO - Removing motion module mm_sd_v14.ckpt from cache
/src/ComfyUI/comfy/model_base.py:47: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
self.register_buffer('betas', torch.tensor(betas, dtype=torch.float32))
/src/ComfyUI/comfy/model_base.py:48: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
self.register_buffer('alphas_cumprod', torch.tensor(alphas_cumprod, dtype=torch.float32))
making attention of type 'vanilla-pytorch' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla-pytorch' with 512 in_channels
Prompt executed in 63.46 seconds
node output:  {'gifs': [{'filename': 'Enabled_00002_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]}
node output:  {'images': [{'filename': 'ComfyUI_temp_mixfi_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00016_.png', 'subfolder': '', 'type': 'temp'}]}
node output:  {'gifs': [{'filename': 'Enabled_00002_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]}
node output:  {'images': [{'filename': 'ComfyUI_temp_mixfi_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00003_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00004_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00005_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00006_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00007_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00008_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00009_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00010_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00011_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00012_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00013_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00014_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00015_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00016_.png', 'subfolder': '', 'type': 'temp'}]}
************* final video output:  ./ComfyUI/output/Enabled_00002_.gif