typetext
ID
gw8thp06j1rgp0cfvbtsvrq9vc
Status
Succeeded
Source
Web
Hardware
A100 (40GB)
Total duration
Created
by fofr
Webhook
–
Input
- prompt
- Empty string
- negative_prompt
- Empty stringtypetext
- max_width
- 512default512typenumeric-rangevalue typeintegerminimum256maximum768
- max_height
- 512default512typenumeric-rangevalue typeintegerminimum256maximum768
- image_1
- image_2
- image_3
- loop
- falsetypeboolean
- interpolate
- falsetypeboolean
- color_correction
- truedefaulttruetypeboolean
{
"color_correction": true,
"image_1": "https://replicate.delivery/pbxt/L1pQdyf4fPVRzU5WxhhHAdH2Eo05X3zhirvNzwAKJ80lA7Qh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-0.webp",
"image_2": "https://replicate.delivery/pbxt/L1pQeBF582rKH3FFAYJCxdFUurBZ1axNFVwKxEd1wIALydhh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-1.webp",
"image_3": "https://replicate.delivery/pbxt/L1pQdTPwSZxnfDkPkM3eArBmHWd5xttTnSkKBhszXJ88pIff/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-3.webp",
"interpolate": false,
"loop": false,
"max_height": 512,
"max_width": 512,
"negative_prompt": "",
"prompt": ""
}Install Replicate’s Node.js client library:
npm install replicate
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_R7z**********************************
This is your API token. Keep it to yourself.
Import and set up the client:
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run fofr/tooncrafter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/tooncrafter:51bf654d60d307ab45c4ffe09546a3c9606f8f33861ab28f5bb0e43ad3fa40ed",
{
input: {
color_correction: true,
image_1: "https://replicate.delivery/pbxt/L1pQdyf4fPVRzU5WxhhHAdH2Eo05X3zhirvNzwAKJ80lA7Qh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-0.webp",
image_2: "https://replicate.delivery/pbxt/L1pQeBF582rKH3FFAYJCxdFUurBZ1axNFVwKxEd1wIALydhh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-1.webp",
image_3: "https://replicate.delivery/pbxt/L1pQdTPwSZxnfDkPkM3eArBmHWd5xttTnSkKBhszXJ88pIff/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-3.webp",
interpolate: false,
loop: false,
max_height: 512,
max_width: 512,
negative_prompt: "",
prompt: ""
}
}
);
// 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=r8_R7z**********************************
This is your API token. Keep it to yourself.
Import the client:
import replicate
Run fofr/tooncrafter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/tooncrafter:51bf654d60d307ab45c4ffe09546a3c9606f8f33861ab28f5bb0e43ad3fa40ed",
input={
"color_correction": True,
"image_1": "https://replicate.delivery/pbxt/L1pQdyf4fPVRzU5WxhhHAdH2Eo05X3zhirvNzwAKJ80lA7Qh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-0.webp",
"image_2": "https://replicate.delivery/pbxt/L1pQeBF582rKH3FFAYJCxdFUurBZ1axNFVwKxEd1wIALydhh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-1.webp",
"image_3": "https://replicate.delivery/pbxt/L1pQdTPwSZxnfDkPkM3eArBmHWd5xttTnSkKBhszXJ88pIff/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-3.webp",
"interpolate": False,
"loop": False,
"max_height": 512,
"max_width": 512,
"negative_prompt": "",
"prompt": ""
}
)
# To access the file URL:
print(output[0].url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output[0].read())
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=r8_R7z**********************************
This is your API token. Keep it to yourself.
Run fofr/tooncrafter 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/tooncrafter:51bf654d60d307ab45c4ffe09546a3c9606f8f33861ab28f5bb0e43ad3fa40ed",
"input": {
"color_correction": true,
"image_1": "https://replicate.delivery/pbxt/L1pQdyf4fPVRzU5WxhhHAdH2Eo05X3zhirvNzwAKJ80lA7Qh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-0.webp",
"image_2": "https://replicate.delivery/pbxt/L1pQeBF582rKH3FFAYJCxdFUurBZ1axNFVwKxEd1wIALydhh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-1.webp",
"image_3": "https://replicate.delivery/pbxt/L1pQdTPwSZxnfDkPkM3eArBmHWd5xttTnSkKBhszXJ88pIff/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-3.webp",
"interpolate": false,
"loop": false,
"max_height": 512,
"max_width": 512,
"negative_prompt": "",
"prompt": ""
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"id": "gw8thp06j1rgp0cfvbtsvrq9vc",
"model": "fofr/tooncrafter",
"version": "51bf654d60d307ab45c4ffe09546a3c9606f8f33861ab28f5bb0e43ad3fa40ed",
"input": {
"color_correction": true,
"image_1": "https://replicate.delivery/pbxt/L1pQdyf4fPVRzU5WxhhHAdH2Eo05X3zhirvNzwAKJ80lA7Qh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-0.webp",
"image_2": "https://replicate.delivery/pbxt/L1pQeBF582rKH3FFAYJCxdFUurBZ1axNFVwKxEd1wIALydhh/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-1.webp",
"image_3": "https://replicate.delivery/pbxt/L1pQdTPwSZxnfDkPkM3eArBmHWd5xttTnSkKBhszXJ88pIff/replicate-prediction-5cvynz9d91rgg0cfsvqschdpww-3.webp",
"interpolate": false,
"loop": false,
"max_height": 512,
"max_width": 512,
"negative_prompt": "",
"prompt": ""
},
"logs": "Random seed set to: 1500914532\nChecking inputs\n✅ /tmp/inputs/input_1.png\n✅ /tmp/inputs/input_2.png\n✅ /tmp/inputs/input_3.png\n====================================\nChecking weights\n✅ tooncrafter_512_interp-fp16.safetensors\n✅ stable-diffusion-2-1-clip-fp16.safetensors\n✅ CLIP-ViT-H-fp16.safetensors\n====================================\nRunning workflow\ngot prompt\nExecuting node 1, title: Load Image, class type: LoadImage\nDownloading model to: /src/ComfyUI/models/checkpoints/dynamicrafter/tooncrafter_512_interp-fp16.safetensors\nExecuting node 52, title: DownloadAndLoadDynamiCrafterModel, class type: DownloadAndLoadDynamiCrafterModel\nFetching 1 files: 0%| | 0/1 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/huggingface_hub/file_download.py:1194: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.\nFor more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.\nwarnings.warn(\nFetching 1 files: 100%|██████████| 1/1 [00:13<00:00, 13.65s/it]\nFetching 1 files: 100%|██████████| 1/1 [00:13<00:00, 13.65s/it]\nLoading model from: /src/ComfyUI/models/checkpoints/dynamicrafter/tooncrafter_512_interp-fp16.safetensors\nLatentVisualDiffusion: Running in v-prediction mode\nAE working on z of shape (1, 4, 32, 32) = 4096 dimensions.\nWorking with z of shape (1, 4, 32, 32) = 4096 dimensions.\nvanilla\nmaking attention of type 'vanilla' with 512 in_channels\nmemory-efficient-cross-attn-fusion\nmaking attention of type 'memory-efficient-cross-attn-fusion' with 512 in_channels\nmemory-efficient-cross-attn-fusion\nmaking attention of type 'memory-efficient-cross-attn-fusion' with 512 in_channels\n>>> model checkpoint loaded.\nModel using dtype: torch.float16\nExecuting node 61, title: DownloadAndLoadCLIPVisionModel, class type: DownloadAndLoadCLIPVisionModel\nLoading model from: /src/ComfyUI/models/clip_vision/CLIP-ViT-H-fp16.safetensors\nExecuting node 59, title: DownloadAndLoadCLIPModel, class type: DownloadAndLoadCLIPModel\nclip missing: ['text_model.encoder.layers.23.layer_norm1.weight', 'text_model.encoder.layers.23.layer_norm1.bias', 'text_model.encoder.layers.23.self_attn.q_proj.weight', 'text_model.encoder.layers.23.self_attn.q_proj.bias', 'text_model.encoder.layers.23.self_attn.k_proj.weight', 'text_model.encoder.layers.23.self_attn.k_proj.bias', 'text_model.encoder.layers.23.self_attn.v_proj.weight', 'text_model.encoder.layers.23.self_attn.v_proj.bias', 'text_model.encoder.layers.23.self_attn.out_proj.weight', 'text_model.encoder.layers.23.self_attn.out_proj.bias', 'text_model.encoder.layers.23.layer_norm2.weight', 'text_model.encoder.layers.23.layer_norm2.bias', 'text_model.encoder.layers.23.mlp.fc1.weight', 'text_model.encoder.layers.23.mlp.fc1.bias', 'text_model.encoder.layers.23.mlp.fc2.weight', 'text_model.encoder.layers.23.mlp.fc2.bias', 'text_projection.weight']\nLoading model from: /src/ComfyUI/models/clip/stable-diffusion-2-1-clip-fp16.safetensors\nRequested to load SD2ClipModel\nLoading 1 new model\nExecuting node 49, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 50, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 70, title: 🔧 Image Resize, class type: ImageResize+\nExecuting node 2, title: Load Image, class type: LoadImage\nExecuting node 303, title: Load Image, class type: LoadImage\nExecuting node 28, title: Image Batch Multi, class type: ImageBatchMulti\nExecuting node 6, title: Get Image Size & Count, class type: GetImageSizeAndCount\nExecuting node 65, title: 🔧 Image Resize, class type: ImageResize+\nExecuting node 57, title: ToonCrafterInterpolation, class type: ToonCrafterInterpolation\nVAE using dtype: torch.bfloat16\nRequested to load CLIPVisionModelProjection\nLoading 1 new model\nDDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]\nDDIM Sampler: 5%|▌ | 1/20 [00:00<00:13, 1.37it/s]\nDDIM Sampler: 10%|█ | 2/20 [00:01<00:11, 1.51it/s]\nDDIM Sampler: 15%|█▌ | 3/20 [00:01<00:10, 1.56it/s]\nDDIM Sampler: 20%|██ | 4/20 [00:02<00:10, 1.59it/s]\nDDIM Sampler: 25%|██▌ | 5/20 [00:03<00:09, 1.60it/s]\nDDIM Sampler: 30%|███ | 6/20 [00:03<00:08, 1.61it/s]\nDDIM Sampler: 35%|███▌ | 7/20 [00:04<00:08, 1.62it/s]\nDDIM Sampler: 40%|████ | 8/20 [00:05<00:07, 1.62it/s]\nDDIM Sampler: 45%|████▌ | 9/20 [00:05<00:06, 1.62it/s]\nDDIM Sampler: 50%|█████ | 10/20 [00:06<00:06, 1.62it/s]\nDDIM Sampler: 55%|█████▌ | 11/20 [00:06<00:05, 1.63it/s]\nDDIM Sampler: 60%|██████ | 12/20 [00:07<00:04, 1.63it/s]\nDDIM Sampler: 65%|██████▌ | 13/20 [00:08<00:04, 1.63it/s]\nDDIM Sampler: 70%|███████ | 14/20 [00:08<00:03, 1.63it/s]\nDDIM Sampler: 75%|███████▌ | 15/20 [00:09<00:03, 1.63it/s]\nDDIM Sampler: 80%|████████ | 16/20 [00:09<00:02, 1.63it/s]\nDDIM Sampler: 85%|████████▌ | 17/20 [00:10<00:01, 1.63it/s]\nDDIM Sampler: 90%|█████████ | 18/20 [00:11<00:01, 1.63it/s]\nDDIM Sampler: 95%|█████████▌| 19/20 [00:11<00:00, 1.63it/s]\nDDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.63it/s]\nDDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.61it/s]\nDDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]\nDDIM Sampler: 5%|▌ | 1/20 [00:00<00:11, 1.63it/s]\nDDIM Sampler: 10%|█ | 2/20 [00:01<00:11, 1.63it/s]\nDDIM Sampler: 15%|█▌ | 3/20 [00:01<00:10, 1.63it/s]\nDDIM Sampler: 20%|██ | 4/20 [00:02<00:09, 1.63it/s]\nDDIM Sampler: 25%|██▌ | 5/20 [00:03<00:09, 1.63it/s]\nDDIM Sampler: 30%|███ | 6/20 [00:03<00:08, 1.63it/s]\nDDIM Sampler: 35%|███▌ | 7/20 [00:04<00:07, 1.63it/s]\nDDIM Sampler: 40%|████ | 8/20 [00:04<00:07, 1.63it/s]\nDDIM Sampler: 45%|████▌ | 9/20 [00:05<00:06, 1.63it/s]\nDDIM Sampler: 50%|█████ | 10/20 [00:06<00:06, 1.63it/s]\nDDIM Sampler: 55%|█████▌ | 11/20 [00:06<00:05, 1.63it/s]\nDDIM Sampler: 60%|██████ | 12/20 [00:07<00:04, 1.63it/s]\nDDIM Sampler: 65%|██████▌ | 13/20 [00:07<00:04, 1.63it/s]\nDDIM Sampler: 70%|███████ | 14/20 [00:08<00:03, 1.63it/s]\nDDIM Sampler: 75%|███████▌ | 15/20 [00:09<00:03, 1.63it/s]\nDDIM Sampler: 80%|████████ | 16/20 [00:09<00:02, 1.63it/s]\nDDIM Sampler: 85%|████████▌ | 17/20 [00:10<00:01, 1.63it/s]\nDDIM Sampler: 90%|█████████ | 18/20 [00:11<00:01, 1.63it/s]\nDDIM Sampler: 95%|█████████▌| 19/20 [00:11<00:00, 1.63it/s]\nDDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.63it/s]\nDDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.63it/s]\nExecuting node 58, title: ToonCrafterDecode, class type: ToonCrafterDecode\nVAE using dtype: torch.bfloat16\nUsing xformers\n/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/conv.py:605: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)\nreturn F.conv3d(\nUsing xformers\nExecuting node 67, title: Color Match, class type: ColorMatch\nExecuting node 29, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine\nPrompt executed in 59.29 seconds\noutputs: {'6': {'text': ['3x512x512']}, '29': {'gifs': [{'filename': 'ToonCrafter_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4'}]}}\n====================================\nToonCrafter_00001.png\nToonCrafter_00001.mp4",
"output": [
"https://replicate.delivery/pbxt/aDDntBsXmmL6DZMIRURYbxjeer1PZxmT9TIl0MOfqcrYqT1lA/ToonCrafter_00001.mp4"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2024-06-02T21:57:22.192Z",
"started_at": "2024-06-02T21:58:38.767028Z",
"completed_at": "2024-06-02T21:59:40.667881Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/gw8thp06j1rgp0cfvbtsvrq9vc/cancel",
"get": "https://api.replicate.com/v1/predictions/gw8thp06j1rgp0cfvbtsvrq9vc",
"web": "https://replicate.com/p/gw8thp06j1rgp0cfvbtsvrq9vc"
},
"metrics": {
"predict_time": 61.900853,
"total_time": 138.475881
}
}Generated in
Random seed set to: 1500914532
Checking inputs
✅ /tmp/inputs/input_1.png
✅ /tmp/inputs/input_2.png
✅ /tmp/inputs/input_3.png
====================================
Checking weights
✅ tooncrafter_512_interp-fp16.safetensors
✅ stable-diffusion-2-1-clip-fp16.safetensors
✅ CLIP-ViT-H-fp16.safetensors
====================================
Running workflow
got prompt
Executing node 1, title: Load Image, class type: LoadImage
Downloading model to: /src/ComfyUI/models/checkpoints/dynamicrafter/tooncrafter_512_interp-fp16.safetensors
Executing node 52, title: DownloadAndLoadDynamiCrafterModel, class type: DownloadAndLoadDynamiCrafterModel
Fetching 1 files: 0%| | 0/1 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/huggingface_hub/file_download.py:1194: UserWarning: `local_dir_use_symlinks` parameter is deprecated and will be ignored. The process to download files to a local folder has been updated and do not rely on symlinks anymore. You only need to pass a destination folder as`local_dir`.
For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/download#download-files-to-local-folder.
warnings.warn(
Fetching 1 files: 100%|██████████| 1/1 [00:13<00:00, 13.65s/it]
Fetching 1 files: 100%|██████████| 1/1 [00:13<00:00, 13.65s/it]
Loading model from: /src/ComfyUI/models/checkpoints/dynamicrafter/tooncrafter_512_interp-fp16.safetensors
LatentVisualDiffusion: Running in v-prediction mode
AE working on z of shape (1, 4, 32, 32) = 4096 dimensions.
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
vanilla
making attention of type 'vanilla' with 512 in_channels
memory-efficient-cross-attn-fusion
making attention of type 'memory-efficient-cross-attn-fusion' with 512 in_channels
memory-efficient-cross-attn-fusion
making attention of type 'memory-efficient-cross-attn-fusion' with 512 in_channels
>>> model checkpoint loaded.
Model using dtype: torch.float16
Executing node 61, title: DownloadAndLoadCLIPVisionModel, class type: DownloadAndLoadCLIPVisionModel
Loading model from: /src/ComfyUI/models/clip_vision/CLIP-ViT-H-fp16.safetensors
Executing node 59, title: DownloadAndLoadCLIPModel, class type: DownloadAndLoadCLIPModel
clip missing: ['text_model.encoder.layers.23.layer_norm1.weight', 'text_model.encoder.layers.23.layer_norm1.bias', 'text_model.encoder.layers.23.self_attn.q_proj.weight', 'text_model.encoder.layers.23.self_attn.q_proj.bias', 'text_model.encoder.layers.23.self_attn.k_proj.weight', 'text_model.encoder.layers.23.self_attn.k_proj.bias', 'text_model.encoder.layers.23.self_attn.v_proj.weight', 'text_model.encoder.layers.23.self_attn.v_proj.bias', 'text_model.encoder.layers.23.self_attn.out_proj.weight', 'text_model.encoder.layers.23.self_attn.out_proj.bias', 'text_model.encoder.layers.23.layer_norm2.weight', 'text_model.encoder.layers.23.layer_norm2.bias', 'text_model.encoder.layers.23.mlp.fc1.weight', 'text_model.encoder.layers.23.mlp.fc1.bias', 'text_model.encoder.layers.23.mlp.fc2.weight', 'text_model.encoder.layers.23.mlp.fc2.bias', 'text_projection.weight']
Loading model from: /src/ComfyUI/models/clip/stable-diffusion-2-1-clip-fp16.safetensors
Requested to load SD2ClipModel
Loading 1 new model
Executing node 49, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 50, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 70, title: 🔧 Image Resize, class type: ImageResize+
Executing node 2, title: Load Image, class type: LoadImage
Executing node 303, title: Load Image, class type: LoadImage
Executing node 28, title: Image Batch Multi, class type: ImageBatchMulti
Executing node 6, title: Get Image Size & Count, class type: GetImageSizeAndCount
Executing node 65, title: 🔧 Image Resize, class type: ImageResize+
Executing node 57, title: ToonCrafterInterpolation, class type: ToonCrafterInterpolation
VAE using dtype: torch.bfloat16
Requested to load CLIPVisionModelProjection
Loading 1 new model
DDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]
DDIM Sampler: 5%|▌ | 1/20 [00:00<00:13, 1.37it/s]
DDIM Sampler: 10%|█ | 2/20 [00:01<00:11, 1.51it/s]
DDIM Sampler: 15%|█▌ | 3/20 [00:01<00:10, 1.56it/s]
DDIM Sampler: 20%|██ | 4/20 [00:02<00:10, 1.59it/s]
DDIM Sampler: 25%|██▌ | 5/20 [00:03<00:09, 1.60it/s]
DDIM Sampler: 30%|███ | 6/20 [00:03<00:08, 1.61it/s]
DDIM Sampler: 35%|███▌ | 7/20 [00:04<00:08, 1.62it/s]
DDIM Sampler: 40%|████ | 8/20 [00:05<00:07, 1.62it/s]
DDIM Sampler: 45%|████▌ | 9/20 [00:05<00:06, 1.62it/s]
DDIM Sampler: 50%|█████ | 10/20 [00:06<00:06, 1.62it/s]
DDIM Sampler: 55%|█████▌ | 11/20 [00:06<00:05, 1.63it/s]
DDIM Sampler: 60%|██████ | 12/20 [00:07<00:04, 1.63it/s]
DDIM Sampler: 65%|██████▌ | 13/20 [00:08<00:04, 1.63it/s]
DDIM Sampler: 70%|███████ | 14/20 [00:08<00:03, 1.63it/s]
DDIM Sampler: 75%|███████▌ | 15/20 [00:09<00:03, 1.63it/s]
DDIM Sampler: 80%|████████ | 16/20 [00:09<00:02, 1.63it/s]
DDIM Sampler: 85%|████████▌ | 17/20 [00:10<00:01, 1.63it/s]
DDIM Sampler: 90%|█████████ | 18/20 [00:11<00:01, 1.63it/s]
DDIM Sampler: 95%|█████████▌| 19/20 [00:11<00:00, 1.63it/s]
DDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.63it/s]
DDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.61it/s]
DDIM Sampler: 0%| | 0/20 [00:00<?, ?it/s]
DDIM Sampler: 5%|▌ | 1/20 [00:00<00:11, 1.63it/s]
DDIM Sampler: 10%|█ | 2/20 [00:01<00:11, 1.63it/s]
DDIM Sampler: 15%|█▌ | 3/20 [00:01<00:10, 1.63it/s]
DDIM Sampler: 20%|██ | 4/20 [00:02<00:09, 1.63it/s]
DDIM Sampler: 25%|██▌ | 5/20 [00:03<00:09, 1.63it/s]
DDIM Sampler: 30%|███ | 6/20 [00:03<00:08, 1.63it/s]
DDIM Sampler: 35%|███▌ | 7/20 [00:04<00:07, 1.63it/s]
DDIM Sampler: 40%|████ | 8/20 [00:04<00:07, 1.63it/s]
DDIM Sampler: 45%|████▌ | 9/20 [00:05<00:06, 1.63it/s]
DDIM Sampler: 50%|█████ | 10/20 [00:06<00:06, 1.63it/s]
DDIM Sampler: 55%|█████▌ | 11/20 [00:06<00:05, 1.63it/s]
DDIM Sampler: 60%|██████ | 12/20 [00:07<00:04, 1.63it/s]
DDIM Sampler: 65%|██████▌ | 13/20 [00:07<00:04, 1.63it/s]
DDIM Sampler: 70%|███████ | 14/20 [00:08<00:03, 1.63it/s]
DDIM Sampler: 75%|███████▌ | 15/20 [00:09<00:03, 1.63it/s]
DDIM Sampler: 80%|████████ | 16/20 [00:09<00:02, 1.63it/s]
DDIM Sampler: 85%|████████▌ | 17/20 [00:10<00:01, 1.63it/s]
DDIM Sampler: 90%|█████████ | 18/20 [00:11<00:01, 1.63it/s]
DDIM Sampler: 95%|█████████▌| 19/20 [00:11<00:00, 1.63it/s]
DDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.63it/s]
DDIM Sampler: 100%|██████████| 20/20 [00:12<00:00, 1.63it/s]
Executing node 58, title: ToonCrafterDecode, class type: ToonCrafterDecode
VAE using dtype: torch.bfloat16
Using xformers
/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/nn/modules/conv.py:605: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv3d(
Using xformers
Executing node 67, title: Color Match, class type: ColorMatch
Executing node 29, title: Video Combine 🎥🅥🅗🅢, class type: VHS_VideoCombine
Prompt executed in 59.29 seconds
outputs: {'6': {'text': ['3x512x512']}, '29': {'gifs': [{'filename': 'ToonCrafter_00001.mp4', 'subfolder': '', 'type': 'output', 'format': 'video/h264-mp4'}]}}
====================================
ToonCrafter_00001.png
ToonCrafter_00001.mp4