piyushk52
/
ad_interpolation
- Public
- 566 runs
-
A100 (80GB)
Prediction
piyushk52/ad_interpolation:4a478c65IDpzh4aa3bb65vhtqcvvpvegfjhyStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- 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
- starting_image_path
{ "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" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun 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 theREPLICATE_API_TOKENenvironment 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/predictionsTo 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 ingot 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)() [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [] [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 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:45, 2.41s/it] 10%|█ | 2/20 [00:04<00:40, 2.24s/it] 15%|█▌ | 3/20 [00:06<00:37, 2.19s/it] 20%|██ | 4/20 [00:08<00:34, 2.16s/it] 25%|██▌ | 5/20 [00:10<00:32, 2.15s/it] 30%|███ | 6/20 [00:13<00:29, 2.14s/it] 35%|███▌ | 7/20 [00:15<00:27, 2.13s/it] 40%|████ | 8/20 [00:17<00:25, 2.13s/it] 45%|████▌ | 9/20 [00:19<00:23, 2.13s/it] 50%|█████ | 10/20 [00:21<00:21, 2.13s/it] 55%|█████▌ | 11/20 [00:23<00:19, 2.13s/it] 60%|██████ | 12/20 [00:25<00:17, 2.13s/it] 65%|██████▌ | 13/20 [00:27<00:14, 2.14s/it] 70%|███████ | 14/20 [00:30<00:12, 2.13s/it] 75%|███████▌ | 15/20 [00:32<00:10, 2.13s/it] 80%|████████ | 16/20 [00:34<00:08, 2.20s/it] 85%|████████▌ | 17/20 [00:36<00:06, 2.18s/it] 90%|█████████ | 18/20 [00:38<00:04, 2.16s/it] 95%|█████████▌| 19/20 [00:40<00:02, 2.16s/it] 100%|██████████| 20/20 [00:43<00:00, 2.15s/it] 100%|██████████| 20/20 [00:43<00:00, 2.15s/it] [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_.gifPrediction
piyushk52/ad_interpolation:4a478c65IDmlyh3n3b26ou6a2k67nzhvow7qStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- cfg
- 8
- seed
- -1
- model
- epic_realism.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
- starting_image_path
{ "cfg": 8, "seed": -1, "model": "epic_realism.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" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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: "epic_realism.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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun 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": "epic_realism.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 theREPLICATE_API_TOKENenvironment 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": "epic_realism.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/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-05T13:08:48.509790Z", "created_at": "2023-10-05T13:07:51.807937Z", "data_removed": false, "error": null, "id": "mlyh3n3b26ou6a2k67nzhvow7q", "input": { "cfg": 8, "seed": -1, "model": "epic_realism.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\n3\n3\n3\n3\n3\n3\n3\n3\n3\n3\n3\n3\n3\n3\n3\n3\n2\n2\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(['cond_stage_model.transformer.text_model.embeddings.position_ids', 'model_ema.decay', 'model_ema.num_updates'])\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[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\nunload clone16\nunload clone 15\nunload clone 14\nunload clone 13\nunload clone 12\nunload clone 11\nunload clone 10\nunload clone 9\nunload clone 8\nunload clone 7\nunload clone 6\nunload clone 5\nunload clone 4\nunload clone 3\nunload clone 2\nunload clone 1\n 0%| | 0/20 [00:00<?, ?it/s]\n 5%|▌ | 1/20 [00:01<00:36, 1.90s/it]\n 10%|█ | 2/20 [00:04<00:39, 2.17s/it]\n 15%|█▌ | 3/20 [00:06<00:36, 2.15s/it]\n 20%|██ | 4/20 [00:08<00:34, 2.14s/it]\n 25%|██▌ | 5/20 [00:10<00:32, 2.14s/it]\n 30%|███ | 6/20 [00:12<00:29, 2.13s/it]\n 35%|███▌ | 7/20 [00:14<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, 2.13s/it]\n 70%|███████ | 14/20 [00:29<00:12, 2.13s/it]\n 75%|███████▌ | 15/20 [00:31<00:10, 2.13s/it]\n 80%|████████ | 16/20 [00:34<00:08, 2.13s/it]\n 85%|████████▌ | 17/20 [00:36<00:06, 2.13s/it]\n 90%|█████████ | 18/20 [00:38<00:04, 2.13s/it]\n 95%|█████████▌| 19/20 [00:40<00:02, 2.13s/it]\n100%|██████████| 20/20 [00:42<00:00, 2.13s/it]\n100%|██████████| 20/20 [00:42<00:00, 2.13s/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\nPrompt executed in 53.75 seconds\nnode output: {'gifs': [{'filename': 'Enabled_00003_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]}\nnode output: {'images': [{'filename': 'ComfyUI_temp_mixfi_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00032_.png', 'subfolder': '', 'type': 'temp'}]}\nnode output: {'gifs': [{'filename': 'Enabled_00003_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]}\nnode output: {'images': [{'filename': 'ComfyUI_temp_mixfi_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00032_.png', 'subfolder': '', 'type': 'temp'}]}\n************* final video output: ./ComfyUI/output/Enabled_00003_.gif", "metrics": { "predict_time": 56.700367, "total_time": 56.701853 }, "output": "https://replicate.delivery/pbxt/68sk538ukX4IApgk9XRbgIBezJ22XH1kaqpL7aNkvPqvOj1IA/Enabled_00003_.gif", "started_at": "2023-10-05T13:07:51.809423Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mlyh3n3b26ou6a2k67nzhvow7q", "cancel": "https://api.replicate.com/v1/predictions/mlyh3n3b26ou6a2k67nzhvow7q/cancel" }, "version": "4a478c659d96673b81992b866f1072fc62f297b7ad9945632cda027a6a07c624" }Generated ingot prompt 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 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(['cond_stage_model.transformer.text_model.embeddings.position_ids', 'model_ema.decay', 'model_ema.num_updates']) [AnimateDiffEvo] - INFO - Loading motion module mm_sd_v14.ckpt [AnimateDiffEvo] - INFO - Using fp16, converting motion module to fp16 loading new [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 unload clone16 unload clone 15 unload clone 14 unload clone 13 unload clone 12 unload clone 11 unload clone 10 unload clone 9 unload clone 8 unload clone 7 unload clone 6 unload clone 5 unload clone 4 unload clone 3 unload clone 2 unload clone 1 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:36, 1.90s/it] 10%|█ | 2/20 [00:04<00:39, 2.17s/it] 15%|█▌ | 3/20 [00:06<00:36, 2.15s/it] 20%|██ | 4/20 [00:08<00:34, 2.14s/it] 25%|██▌ | 5/20 [00:10<00:32, 2.14s/it] 30%|███ | 6/20 [00:12<00:29, 2.13s/it] 35%|███▌ | 7/20 [00:14<00:27, 2.13s/it] 40%|████ | 8/20 [00:17<00:25, 2.13s/it] 45%|████▌ | 9/20 [00:19<00:23, 2.13s/it] 50%|█████ | 10/20 [00:21<00:21, 2.13s/it] 55%|█████▌ | 11/20 [00:23<00:19, 2.13s/it] 60%|██████ | 12/20 [00:25<00:17, 2.13s/it] 65%|██████▌ | 13/20 [00:27<00:14, 2.13s/it] 70%|███████ | 14/20 [00:29<00:12, 2.13s/it] 75%|███████▌ | 15/20 [00:31<00:10, 2.13s/it] 80%|████████ | 16/20 [00:34<00:08, 2.13s/it] 85%|████████▌ | 17/20 [00:36<00:06, 2.13s/it] 90%|█████████ | 18/20 [00:38<00:04, 2.13s/it] 95%|█████████▌| 19/20 [00:40<00:02, 2.13s/it] 100%|██████████| 20/20 [00:42<00:00, 2.13s/it] 100%|██████████| 20/20 [00:42<00:00, 2.13s/it] [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 Prompt executed in 53.75 seconds node output: {'gifs': [{'filename': 'Enabled_00003_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]} node output: {'images': [{'filename': 'ComfyUI_temp_mixfi_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00032_.png', 'subfolder': '', 'type': 'temp'}]} node output: {'gifs': [{'filename': 'Enabled_00003_.gif', 'subfolder': '', 'type': 'output', 'format': 'image/gif'}]} node output: {'images': [{'filename': 'ComfyUI_temp_mixfi_00017_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00018_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00019_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00020_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00021_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00022_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00023_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00024_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00025_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00026_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00027_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00028_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00029_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00030_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00031_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_mixfi_00032_.png', 'subfolder': '', 'type': 'temp'}]} ************* final video output: ./ComfyUI/output/Enabled_00003_.gif
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