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daanelson /plug_and_play_image_translation:f41455dc
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=daanelson/plug_and_play_image_translation
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet 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 daanelson/plug_and_play_image_translation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"daanelson/plug_and_play_image_translation:f41455dcccccc775b576afc6df93c0d6ff0166239f7bb59ffa7acbba8c154ab8",
{
input: {
input_image: "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
negative_prompt: "a photo of a white horse",
generation_prompt: "",
translation_prompts: "a photo of a robot horse;a photo of a bronze horse in a museum;a photo of a pink toy horse on the beach",
negative_prompt_alpha: 1,
feature_injection_threshold: 0.8
}
}
);
// 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 replicateSet 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 replicateRun daanelson/plug_and_play_image_translation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"daanelson/plug_and_play_image_translation:f41455dcccccc775b576afc6df93c0d6ff0166239f7bb59ffa7acbba8c154ab8",
input={
"input_image": "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
"negative_prompt": "a photo of a white horse",
"generation_prompt": "",
"translation_prompts": "a photo of a robot horse;a photo of a bronze horse in a museum;a photo of a pink toy horse on the beach",
"negative_prompt_alpha": 1,
"feature_injection_threshold": 0.8
}
)
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 daanelson/plug_and_play_image_translation 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": "daanelson/plug_and_play_image_translation:f41455dcccccc775b576afc6df93c0d6ff0166239f7bb59ffa7acbba8c154ab8",
"input": {
"input_image": "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
"negative_prompt": "a photo of a white horse",
"generation_prompt": "",
"translation_prompts": "a photo of a robot horse;a photo of a bronze horse in a museum;a photo of a pink toy horse on the beach",
"negative_prompt_alpha": 1,
"feature_injection_threshold": 0.8
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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Output
{
"completed_at": "2023-02-12T10:11:25.329607Z",
"created_at": "2023-02-12T10:07:01.036032Z",
"data_removed": false,
"error": null,
"id": "c3dmylmonrcwbcs3dkp6wtyrae",
"input": {
"input_image": "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
"negative_prompt": "a photo of a white horse",
"translation_prompts": "a photo of a robot horse;a photo of a bronze horse in a museum;a photo of a pink toy horse on the beach",
"negative_prompt_alpha": 1,
"feature_injection_threshold": 0.8
},
"logs": "Global seed set to 50\nloaded input image of size (512, 512) from /tmp/tmpjn4wp4pbhorse.png\nRunning DDIM inversion with 999 timesteps\nDDIM Inversion: 0%| | 0/999 [00:00<?, ?it/s]\nDDIM Inversion: 0%| | 2/999 [00:00<01:30, 10.97it/s]\nDDIM Inversion: 0%| | 4/999 [00:00<01:26, 11.54it/s]\nDDIM Inversion: 1%| | 6/999 [00:00<01:26, 11.50it/s]\nDDIM Inversion: 1%| | 8/999 [00:00<01:23, 11.92it/s]\nDDIM Inversion: 1%| | 10/999 [00:00<01:20, 12.23it/s]\nDDIM Inversion: 1%| | 12/999 [00:00<01:19, 12.48it/s]\nDDIM Inversion: 1%|▏ | 14/999 [00:01<01:17, 12.67it/s]\nDDIM Inversion: 2%|▏ | 16/999 [00:01<01:17, 12.75it/s]\nDDIM Inversion: 2%|▏ | 18/999 [00:01<01:20, 12.17it/s]\nDDIM Inversion: 2%|▏ | 20/999 [00:01<01:19, 12.28it/s]\nDDIM Inversion: 2%|▏ | 22/999 [00:01<01:21, 11.98it/s]\nDDIM Inversion: 2%|▏ | 24/999 [00:02<01:24, 11.56it/s]\nDDIM Inversion: 3%|▎ | 26/999 [00:02<01:21, 11.99it/s]\nDDIM Inversion: 3%|▎ | 28/999 [00:02<01:24, 11.52it/s]\nDDIM Inversion: 3%|▎ | 30/999 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11.53it/s]\nDDIM Inversion: 75%|███████▍ | 748/999 [01:05<00:21, 11.44it/s]\nDDIM Inversion: 75%|███████▌ | 750/999 [01:05<00:21, 11.38it/s]\nDDIM Inversion: 75%|███████▌ | 752/999 [01:05<00:21, 11.26it/s]\nDDIM Inversion: 75%|███████▌ | 754/999 [01:05<00:21, 11.49it/s]\nDDIM Inversion: 76%|███████▌ | 756/999 [01:06<00:22, 10.92it/s]\nDDIM Inversion: 76%|███████▌ | 758/999 [01:06<00:23, 10.20it/s]\nDDIM Inversion: 76%|███████▌ | 760/999 [01:06<00:23, 10.17it/s]\nDDIM Inversion: 76%|███████▋ | 762/999 [01:06<00:23, 10.12it/s]\nDDIM Inversion: 76%|███████▋ | 764/999 [01:06<00:22, 10.54it/s]\nDDIM Inversion: 77%|███████▋ | 766/999 [01:07<00:21, 10.74it/s]\nDDIM Inversion: 77%|███████▋ | 768/999 [01:07<00:21, 10.56it/s]\nDDIM Inversion: 77%|███████▋ | 770/999 [01:07<00:21, 10.74it/s]\nDDIM Inversion: 77%|███████▋ | 772/999 [01:07<00:21, 10.79it/s]\nDDIM Inversion: 77%|███████▋ | 774/999 [01:07<00:20, 11.05it/s]\nDDIM Inversion: 78%|███████▊ | 776/999 [01:08<00:20, 10.97it/s]\nDDIM 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808/999 [01:11<00:17, 10.82it/s]\nDDIM Inversion: 81%|████████ | 810/999 [01:11<00:17, 11.02it/s]\nDDIM Inversion: 81%|████████▏ | 812/999 [01:11<00:16, 11.12it/s]\nDDIM Inversion: 81%|████████▏ | 814/999 [01:11<00:16, 11.45it/s]\nDDIM Inversion: 82%|████████▏ | 816/999 [01:11<00:16, 11.33it/s]\nDDIM Inversion: 82%|████████▏ | 818/999 [01:11<00:16, 11.04it/s]\nDDIM Inversion: 82%|████████▏ | 820/999 [01:12<00:15, 11.31it/s]\nDDIM Inversion: 82%|████████▏ | 822/999 [01:12<00:15, 11.25it/s]\nDDIM Inversion: 82%|████████▏ | 824/999 [01:12<00:15, 11.22it/s]\nDDIM Inversion: 83%|████████▎ | 826/999 [01:12<00:15, 11.48it/s]\nDDIM Inversion: 83%|████████▎ | 828/999 [01:12<00:14, 11.51it/s]\nDDIM Inversion: 83%|████████▎ | 830/999 [01:12<00:14, 11.42it/s]\nDDIM Inversion: 83%|████████▎ | 832/999 [01:13<00:14, 11.23it/s]\nDDIM Inversion: 83%|████████▎ | 834/999 [01:13<00:14, 11.11it/s]\nDDIM Inversion: 84%|████████▎ | 836/999 [01:13<00:14, 10.88it/s]\nDDIM Inversion: 84%|████████▍ | 838/999 [01:13<00:14, 11.06it/s]\nDDIM Inversion: 84%|████████▍ | 840/999 [01:13<00:14, 11.13it/s]\nDDIM Inversion: 84%|████████▍ | 842/999 [01:14<00:13, 11.44it/s]\nDDIM Inversion: 84%|████████▍ | 844/999 [01:14<00:13, 11.52it/s]\nDDIM Inversion: 85%|████████▍ | 846/999 [01:14<00:13, 11.65it/s]\nDDIM Inversion: 85%|████████▍ | 848/999 [01:14<00:13, 10.96it/s]\nDDIM Inversion: 85%|████████▌ | 850/999 [01:14<00:13, 11.06it/s]\nDDIM Inversion: 85%|████████▌ | 852/999 [01:14<00:13, 11.08it/s]\nDDIM Inversion: 85%|████████▌ | 854/999 [01:15<00:13, 11.12it/s]\nDDIM Inversion: 86%|████████▌ | 856/999 [01:15<00:12, 11.00it/s]\nDDIM Inversion: 86%|████████▌ | 858/999 [01:15<00:12, 11.15it/s]\nDDIM Inversion: 86%|████████▌ | 860/999 [01:15<00:12, 11.49it/s]\nDDIM Inversion: 86%|████████▋ | 862/999 [01:15<00:12, 11.36it/s]\nDDIM Inversion: 86%|████████▋ | 864/999 [01:16<00:12, 11.14it/s]\nDDIM Inversion: 87%|████████▋ | 866/999 [01:16<00:11, 11.11it/s]\nDDIM Inversion: 87%|████████▋ | 868/999 [01:16<00:11, 11.09it/s]\nDDIM Inversion: 87%|████████▋ | 870/999 [01:16<00:11, 11.16it/s]\nDDIM Inversion: 87%|████████▋ | 872/999 [01:16<00:11, 11.08it/s]\nDDIM Inversion: 87%|████████▋ | 874/999 [01:16<00:11, 11.23it/s]\nDDIM Inversion: 88%|████████▊ | 876/999 [01:17<00:10, 11.26it/s]\nDDIM Inversion: 88%|████████▊ | 878/999 [01:17<00:10, 11.73it/s]\nDDIM Inversion: 88%|████████▊ | 880/999 [01:17<00:10, 11.65it/s]\nDDIM Inversion: 88%|████████▊ | 882/999 [01:17<00:10, 11.47it/s]\nDDIM Inversion: 88%|████████▊ | 884/999 [01:17<00:10, 11.14it/s]\nDDIM Inversion: 89%|████████▊ | 886/999 [01:17<00:10, 11.12it/s]\nDDIM Inversion: 89%|████████▉ | 888/999 [01:18<00:09, 11.41it/s]\nDDIM Inversion: 89%|████████▉ | 890/999 [01:18<00:09, 11.65it/s]\nDDIM Inversion: 89%|████████▉ | 892/999 [01:18<00:09, 11.37it/s]\nDDIM Inversion: 89%|████████▉ | 894/999 [01:18<00:08, 11.77it/s]\nDDIM Inversion: 90%|████████▉ | 896/999 [01:18<00:08, 11.49it/s]\nDDIM Inversion: 90%|████████▉ | 898/999 [01:18<00:08, 11.61it/s]\nDDIM Inversion: 90%|█████████ | 900/999 [01:19<00:08, 11.72it/s]\nDDIM Inversion: 90%|█████████ | 902/999 [01:19<00:08, 11.52it/s]\nDDIM Inversion: 90%|█████████ | 904/999 [01:19<00:08, 11.63it/s]\nDDIM Inversion: 91%|█████████ | 906/999 [01:19<00:07, 11.76it/s]\nDDIM Inversion: 91%|█████████ | 908/999 [01:19<00:07, 11.60it/s]\nDDIM Inversion: 91%|█████████ | 910/999 [01:20<00:07, 11.30it/s]\nDDIM Inversion: 91%|█████████▏| 912/999 [01:20<00:07, 11.14it/s]\nDDIM Inversion: 91%|█████████▏| 914/999 [01:20<00:07, 11.09it/s]\nDDIM Inversion: 92%|█████████▏| 916/999 [01:20<00:07, 10.84it/s]\nDDIM Inversion: 92%|█████████▏| 918/999 [01:20<00:07, 10.93it/s]\nDDIM Inversion: 92%|█████████▏| 920/999 [01:20<00:07, 10.59it/s]\nDDIM Inversion: 92%|█████████▏| 922/999 [01:21<00:07, 10.80it/s]\nDDIM Inversion: 92%|█████████▏| 924/999 [01:21<00:06, 11.12it/s]\nDDIM Inversion: 93%|█████████▎| 926/999 [01:21<00:06, 10.98it/s]\nDDIM Inversion: 93%|█████████▎| 928/999 [01:21<00:06, 10.73it/s]\nDDIM Inversion: 93%|█████████▎| 930/999 [01:21<00:06, 10.70it/s]\nDDIM Inversion: 93%|█████████▎| 932/999 [01:22<00:06, 10.70it/s]\nDDIM Inversion: 93%|█████████▎| 934/999 [01:22<00:05, 11.11it/s]\nDDIM Inversion: 94%|█████████▎| 936/999 [01:22<00:05, 10.95it/s]\nDDIM Inversion: 94%|█████████▍| 938/999 [01:22<00:05, 11.17it/s]\nDDIM Inversion: 94%|█████████▍| 940/999 [01:22<00:05, 11.04it/s]\nDDIM Inversion: 94%|█████████▍| 942/999 [01:22<00:05, 10.77it/s]\nDDIM Inversion: 94%|█████████▍| 944/999 [01:23<00:04, 11.13it/s]\nDDIM Inversion: 95%|█████████▍| 946/999 [01:23<00:04, 11.13it/s]\nDDIM Inversion: 95%|█████████▍| 948/999 [01:23<00:04, 10.54it/s]\nDDIM Inversion: 95%|█████████▌| 950/999 [01:23<00:04, 10.51it/s]\nDDIM Inversion: 95%|█████████▌| 952/999 [01:23<00:04, 10.67it/s]\nDDIM Inversion: 95%|█████████▌| 954/999 [01:24<00:04, 10.69it/s]\nDDIM Inversion: 96%|█████████▌| 956/999 [01:24<00:04, 10.65it/s]\nDDIM Inversion: 96%|█████████▌| 958/999 [01:24<00:03, 10.50it/s]\nDDIM Inversion: 96%|█████████▌| 960/999 [01:24<00:03, 10.58it/s]\nDDIM Inversion: 96%|█████████▋| 962/999 [01:24<00:03, 10.57it/s]\nDDIM Inversion: 96%|█████████▋| 964/999 [01:25<00:03, 10.65it/s]\nDDIM Inversion: 97%|█████████▋| 966/999 [01:25<00:03, 10.46it/s]\nDDIM Inversion: 97%|█████████▋| 968/999 [01:25<00:03, 10.10it/s]\nDDIM Inversion: 97%|█████████▋| 970/999 [01:25<00:02, 10.24it/s]\nDDIM Inversion: 97%|█████████▋| 972/999 [01:25<00:02, 10.03it/s]\nDDIM Inversion: 97%|█████████▋| 974/999 [01:26<00:02, 9.93it/s]\nDDIM Inversion: 98%|█████████▊| 975/999 [01:26<00:02, 9.91it/s]\nDDIM Inversion: 98%|█████████▊| 976/999 [01:26<00:02, 9.68it/s]\nDDIM Inversion: 98%|█████████▊| 977/999 [01:26<00:02, 9.72it/s]\nDDIM Inversion: 98%|█████████▊| 979/999 [01:26<00:01, 10.14it/s]\nDDIM Inversion: 98%|█████████▊| 981/999 [01:26<00:01, 10.22it/s]\nDDIM Inversion: 98%|█████████▊| 983/999 [01:26<00:01, 10.27it/s]\nDDIM Inversion: 99%|█████████▊| 985/999 [01:27<00:01, 10.64it/s]\nDDIM Inversion: 99%|█████████▉| 987/999 [01:27<00:01, 10.80it/s]\nDDIM Inversion: 99%|█████████▉| 989/999 [01:27<00:00, 10.78it/s]\nDDIM Inversion: 99%|█████████▉| 991/999 [01:27<00:00, 11.08it/s]\nDDIM Inversion: 99%|█████████▉| 993/999 [01:27<00:00, 11.24it/s]\nDDIM Inversion: 100%|█████████▉| 995/999 [01:28<00:00, 11.02it/s]\nDDIM Inversion: 100%|█████████▉| 997/999 [01:28<00:00, 10.78it/s]\nDDIM Inversion: 100%|██████████| 999/999 [01:28<00:00, 10.94it/s]\nDDIM Inversion: 100%|██████████| 999/999 [01:28<00:00, 11.30it/s]\nData shape for DDIM sampling is (1, 4, 64, 64), eta 0.0\nRunning DDIM Sampling with 999 timesteps\nSelected timesteps for ddim sampler: [ 1 21 41 61 81 101 121 141 161 181 201 221 241 261 281 301 321 341\n361 381 401 421 441 461 481 501 521 541 561 581 601 621 641 661 681 701\n721 741 761 781 801 821 841 861 881 901 921 941 961 981]\nDDIM Sampler: 0%| | 0/999 [00:00<?, ?it/s]\nDDIM Sampler: 0%| | 2/999 [00:00<01:38, 10.13it/s]\nDDIM Sampler: 0%| | 4/999 [00:00<01:34, 10.54it/s]\nDDIM Sampler: 1%| | 6/999 [00:00<01:31, 10.89it/s]\nDDIM Sampler: 1%| | 8/999 [00:00<01:29, 11.04it/s]\nDDIM Sampler: 1%| | 10/999 [00:00<01:28, 11.11it/s]\nDDIM Sampler: 1%| | 12/999 [00:01<01:28, 11.17it/s]\nDDIM Sampler: 1%|▏ | 14/999 [00:01<01:27, 11.20it/s]\nDDIM Sampler: 2%|▏ | 16/999 [00:01<01:28, 11.15it/s]\nDDIM Sampler: 2%|▏ | 18/999 [00:01<01:28, 11.14it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 42%|████▏ | 5/12 [00:00<00:00, 36.05it/s]\u001b[A\nSaving input blocks feature maps: 75%|███████▌ | 9/12 [00:00<00:00, 11.82it/s]\u001b[A\nSaving input blocks feature maps: 92%|█████████▏| 11/12 [00:01<00:00, 7.93it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:01<00:00, 8.79it/s]\nDDIM Sampler: 2%|▏ | 20/999 [00:03<05:37, 2.90it/s]\nDDIM Sampler: 2%|▏ | 22/999 [00:03<04:21, 3.74it/s]\nDDIM Sampler: 2%|▏ | 24/999 [00:03<03:29, 4.65it/s]\nDDIM Sampler: 3%|▎ | 25/999 [00:03<03:10, 5.12it/s]\nDDIM Sampler: 3%|▎ | 26/999 [00:04<02:51, 5.68it/s]\nDDIM Sampler: 3%|▎ | 27/999 [00:04<02:34, 6.29it/s]\nDDIM Sampler: 3%|▎ | 29/999 [00:04<02:07, 7.61it/s]\nDDIM Sampler: 3%|▎ | 31/999 [00:04<01:52, 8.57it/s]\nDDIM Sampler: 3%|▎ | 33/999 [00:04<01:43, 9.34it/s]\nDDIM Sampler: 4%|▎ | 35/999 [00:04<01:37, 9.90it/s]\nDDIM Sampler: 4%|▎ | 37/999 [00:05<01:36, 9.95it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 92%|█████████▏| 11/12 [00:00<00:00, 104.18it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 88.82it/s]\nDDIM Sampler: 4%|▍ | 39/999 [00:05<02:28, 6.46it/s]\nDDIM Sampler: 4%|▍ | 41/999 [00:05<02:10, 7.35it/s]\nDDIM Sampler: 4%|▍ | 42/999 [00:05<02:04, 7.69it/s]\nDDIM Sampler: 4%|▍ | 43/999 [00:06<02:00, 7.93it/s]\nDDIM Sampler: 4%|▍ | 44/999 [00:06<01:55, 8.30it/s]\nDDIM Sampler: 5%|▍ | 45/999 [00:06<01:50, 8.65it/s]\nDDIM Sampler: 5%|▍ | 46/999 [00:06<01:48, 8.79it/s]\nDDIM Sampler: 5%|▍ | 47/999 [00:06<01:45, 9.07it/s]\nDDIM Sampler: 5%|▍ | 49/999 [00:06<01:36, 9.85it/s]\nDDIM Sampler: 5%|▌ | 51/999 [00:06<01:35, 9.97it/s]\nDDIM Sampler: 5%|▌ | 53/999 [00:06<01:33, 10.15it/s]\nDDIM Sampler: 6%|▌ | 55/999 [00:07<01:30, 10.40it/s]\nDDIM Sampler: 6%|▌ | 57/999 [00:07<01:30, 10.46it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 116.72it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 116.30it/s]\nDDIM Sampler: 6%|▌ | 59/999 [00:07<02:16, 6.91it/s]\nDDIM Sampler: 6%|▌ | 60/999 [00:07<02:08, 7.29it/s]\nDDIM Sampler: 6%|▌ | 61/999 [00:08<02:01, 7.69it/s]\nDDIM Sampler: 6%|▌ | 62/999 [00:08<01:56, 8.03it/s]\nDDIM Sampler: 6%|▋ | 64/999 [00:08<01:43, 9.02it/s]\nDDIM Sampler: 7%|▋ | 66/999 [00:08<01:36, 9.69it/s]\nDDIM Sampler: 7%|▋ | 68/999 [00:08<01:31, 10.18it/s]\nDDIM Sampler: 7%|▋ | 70/999 [00:08<01:28, 10.46it/s]\nDDIM Sampler: 7%|▋ | 72/999 [00:09<01:27, 10.59it/s]\nDDIM Sampler: 7%|▋ | 74/999 [00:09<01:26, 10.66it/s]\nDDIM Sampler: 8%|▊ | 76/999 [00:09<01:25, 10.76it/s]\nDDIM Sampler: 8%|▊ | 78/999 [00:09<01:27, 10.49it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 50%|█████ | 6/12 [00:00<00:00, 47.99it/s]\u001b[A\nSaving input blocks feature maps: 92%|█████████▏| 11/12 [00:00<00:00, 17.93it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 20.70it/s]\nDDIM Sampler: 8%|▊ | 80/999 [00:10<03:17, 4.65it/s]\nDDIM Sampler: 8%|▊ | 82/999 [00:10<02:41, 5.68it/s]\nDDIM Sampler: 8%|▊ | 84/999 [00:10<02:18, 6.61it/s]\nDDIM Sampler: 9%|▊ | 85/999 [00:11<02:09, 7.03it/s]\nDDIM Sampler: 9%|▊ | 86/999 [00:11<02:02, 7.43it/s]\nDDIM Sampler: 9%|▊ | 87/999 [00:11<01:55, 7.86it/s]\nDDIM Sampler: 9%|▉ | 89/999 [00:11<01:44, 8.70it/s]\nDDIM Sampler: 9%|▉ | 91/999 [00:11<01:39, 9.16it/s]\nDDIM Sampler: 9%|▉ | 93/999 [00:11<01:33, 9.69it/s]\nDDIM Sampler: 10%|▉ | 95/999 [00:12<01:31, 9.83it/s]\nDDIM Sampler: 10%|▉ | 97/999 [00:12<01:27, 10.28it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 123.81it/s]\nDDIM Sampler: 10%|▉ | 99/999 [00:12<02:09, 6.97it/s]\nDDIM Sampler: 10%|█ | 101/999 [00:12<01:54, 7.84it/s]\nDDIM Sampler: 10%|█ | 103/999 [00:13<01:45, 8.46it/s]\nDDIM Sampler: 10%|█ | 104/999 [00:13<01:43, 8.65it/s]\nDDIM Sampler: 11%|█ | 105/999 [00:13<01:40, 8.87it/s]\nDDIM Sampler: 11%|█ | 107/999 [00:13<01:32, 9.59it/s]\nDDIM Sampler: 11%|█ | 109/999 [00:13<01:29, 9.94it/s]\nDDIM Sampler: 11%|█ | 111/999 [00:13<01:25, 10.41it/s]\nDDIM Sampler: 11%|█▏ | 113/999 [00:14<01:26, 10.30it/s]\nDDIM Sampler: 12%|█▏ | 115/999 [00:14<01:24, 10.49it/s]\nDDIM Sampler: 12%|█▏ | 117/999 [00:14<01:23, 10.55it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 112.97it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 112.58it/s]\nDDIM Sampler: 12%|█▏ | 119/999 [00:14<02:10, 6.76it/s]\nDDIM Sampler: 12%|█▏ | 121/999 [00:15<01:55, 7.63it/s]\nDDIM Sampler: 12%|█▏ | 122/999 [00:15<01:50, 7.92it/s]\nDDIM Sampler: 12%|█▏ | 124/999 [00:15<01:42, 8.54it/s]\nDDIM Sampler: 13%|█▎ | 125/999 [00:15<01:39, 8.75it/s]\nDDIM Sampler: 13%|█▎ | 127/999 [00:15<01:34, 9.25it/s]\nDDIM Sampler: 13%|█▎ | 129/999 [00:15<01:31, 9.49it/s]\nDDIM Sampler: 13%|█▎ | 131/999 [00:16<01:28, 9.78it/s]\nDDIM Sampler: 13%|█▎ | 133/999 [00:16<01:27, 9.91it/s]\nDDIM Sampler: 14%|█▎ | 135/999 [00:16<01:24, 10.23it/s]\nDDIM Sampler: 14%|█▎ | 137/999 [00:16<01:22, 10.45it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 42%|████▏ | 5/12 [00:00<00:00, 32.30it/s]\u001b[A\nSaving input blocks feature maps: 75%|███████▌ | 9/12 [00:00<00:00, 21.40it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 26.44it/s]\nDDIM Sampler: 14%|█▍ | 139/999 [00:17<02:47, 5.13it/s]\nDDIM Sampler: 14%|█▍ | 141/999 [00:17<02:22, 6.02it/s]\nDDIM Sampler: 14%|█▍ | 143/999 [00:17<02:03, 6.91it/s]\nDDIM Sampler: 15%|█▍ | 145/999 [00:18<01:50, 7.72it/s]\nDDIM Sampler: 15%|█▍ | 147/999 [00:18<01:42, 8.28it/s]\nDDIM Sampler: 15%|█▍ | 149/999 [00:18<01:34, 8.95it/s]\nDDIM Sampler: 15%|█▌ | 151/999 [00:18<01:32, 9.17it/s]\nDDIM Sampler: 15%|█▌ | 153/999 [00:18<01:26, 9.77it/s]\nDDIM Sampler: 16%|█▌ | 155/999 [00:19<01:26, 9.70it/s]\nDDIM Sampler: 16%|█▌ | 157/999 [00:19<01:26, 9.71it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 116.77it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 116.43it/s]\nDDIM Sampler: 16%|█▌ | 159/999 [00:19<02:05, 6.72it/s]\nDDIM Sampler: 16%|█▌ | 160/999 [00:19<01:58, 7.08it/s]\nDDIM Sampler: 16%|█▌ | 161/999 [00:19<01:51, 7.52it/s]\nDDIM Sampler: 16%|█▋ | 163/999 [00:20<01:39, 8.44it/s]\nDDIM Sampler: 16%|█▋ | 164/999 [00:20<01:37, 8.55it/s]\nDDIM Sampler: 17%|█▋ | 166/999 [00:20<01:31, 9.15it/s]\nDDIM Sampler: 17%|█▋ | 167/999 [00:20<01:29, 9.25it/s]\nDDIM Sampler: 17%|█▋ | 168/999 [00:20<01:28, 9.41it/s]\nDDIM Sampler: 17%|█▋ | 169/999 [00:20<01:27, 9.46it/s]\nDDIM Sampler: 17%|█▋ | 171/999 [00:20<01:24, 9.83it/s]\nDDIM Sampler: 17%|█▋ | 173/999 [00:21<01:23, 9.93it/s]\nDDIM Sampler: 18%|█▊ | 175/999 [00:21<01:21, 10.11it/s]\nDDIM Sampler: 18%|█▊ | 177/999 [00:21<01:21, 10.04it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 127.97it/s]\nDDIM Sampler: 18%|█▊ | 179/999 [00:22<02:01, 6.74it/s]\nDDIM Sampler: 18%|█▊ | 181/999 [00:22<01:47, 7.64it/s]\nDDIM Sampler: 18%|█▊ | 183/999 [00:22<01:37, 8.41it/s]\nDDIM Sampler: 19%|█▊ | 185/999 [00:22<01:31, 8.90it/s]\nDDIM Sampler: 19%|█▊ | 187/999 [00:22<01:26, 9.41it/s]\nDDIM Sampler: 19%|█▉ | 189/999 [00:23<01:25, 9.46it/s]\nDDIM Sampler: 19%|█▉ | 190/999 [00:23<01:25, 9.46it/s]\nDDIM Sampler: 19%|█▉ | 191/999 [00:23<01:25, 9.41it/s]\nDDIM Sampler: 19%|█▉ | 193/999 [00:23<01:21, 9.88it/s]\nDDIM Sampler: 20%|█▉ | 195/999 [00:23<01:20, 10.00it/s]\nDDIM Sampler: 20%|█▉ | 197/999 [00:23<01:20, 10.01it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 42%|████▏ | 5/12 [00:00<00:00, 39.92it/s]\u001b[A\nSaving input blocks feature maps: 75%|███████▌ | 9/12 [00:00<00:00, 27.84it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 32.26it/s]\nDDIM Sampler: 20%|█▉ | 199/999 [00:24<02:31, 5.28it/s]\nDDIM Sampler: 20%|██ | 201/999 [00:24<02:08, 6.20it/s]\nDDIM Sampler: 20%|██ | 203/999 [00:24<01:52, 7.06it/s]\nDDIM Sampler: 21%|██ | 205/999 [00:25<01:42, 7.75it/s]\nDDIM Sampler: 21%|██ | 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24%|██▎ | 236/999 [00:28<01:12, 10.59it/s]\nDDIM Sampler: 24%|██▍ | 238/999 [00:28<01:10, 10.83it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 131.43it/s]\nDDIM Sampler: 24%|██▍ | 240/999 [00:29<01:44, 7.26it/s]\nDDIM Sampler: 24%|██▍ | 242/999 [00:29<01:32, 8.15it/s]\nDDIM Sampler: 24%|██▍ | 243/999 [00:29<01:31, 8.22it/s]\nDDIM Sampler: 24%|██▍ | 244/999 [00:29<01:29, 8.41it/s]\nDDIM Sampler: 25%|██▍ | 246/999 [00:29<01:21, 9.19it/s]\nDDIM Sampler: 25%|██▍ | 248/999 [00:29<01:16, 9.78it/s]\nDDIM Sampler: 25%|██▌ | 250/999 [00:30<01:15, 9.93it/s]\nDDIM Sampler: 25%|██▌ | 252/999 [00:30<01:12, 10.28it/s]\nDDIM Sampler: 25%|██▌ | 254/999 [00:30<01:12, 10.34it/s]\nDDIM Sampler: 26%|██▌ | 256/999 [00:30<01:11, 10.33it/s]\nDDIM Sampler: 26%|██▌ | 258/999 [00:30<01:12, 10.23it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 92%|█████████▏| 11/12 [00:00<00:00, 105.97it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 99.21it/s]\nDDIM Sampler: 26%|██▌ | 260/999 [00:31<01:50, 6.66it/s]\nDDIM Sampler: 26%|██▌ | 261/999 [00:31<01:44, 7.07it/s]\nDDIM Sampler: 26%|██▌ | 262/999 [00:31<01:38, 7.47it/s]\nDDIM Sampler: 26%|██▋ | 263/999 [00:31<01:32, 7.92it/s]\nDDIM Sampler: 26%|██▋ | 264/999 [00:31<01:28, 8.33it/s]\nDDIM Sampler: 27%|██▋ | 266/999 [00:31<01:19, 9.21it/s]\nDDIM Sampler: 27%|██▋ | 267/999 [00:32<01:18, 9.34it/s]\nDDIM Sampler: 27%|██▋ | 268/999 [00:32<01:18, 9.35it/s]\nDDIM Sampler: 27%|██▋ | 269/999 [00:32<01:17, 9.41it/s]\nDDIM Sampler: 27%|██▋ | 270/999 [00:32<01:19, 9.13it/s]\nDDIM Sampler: 27%|██▋ | 271/999 [00:32<01:18, 9.23it/s]\nDDIM Sampler: 27%|██▋ | 272/999 [00:32<01:17, 9.39it/s]\nDDIM Sampler: 27%|██▋ | 274/999 [00:32<01:12, 9.94it/s]\nDDIM Sampler: 28%|██▊ | 276/999 [00:32<01:12, 9.91it/s]\nDDIM Sampler: 28%|██▊ | 277/999 [00:33<01:14, 9.73it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 128.77it/s]\nDDIM Sampler: 28%|██▊ | 279/999 [00:33<01:56, 6.16it/s]\nDDIM Sampler: 28%|██▊ | 281/999 [00:33<01:37, 7.36it/s]\nDDIM Sampler: 28%|██▊ | 283/999 [00:33<01:29, 8.03it/s]\nDDIM Sampler: 28%|██▊ | 284/999 [00:34<01:26, 8.26it/s]\nDDIM Sampler: 29%|██▊ | 286/999 [00:34<01:19, 8.98it/s]\nDDIM Sampler: 29%|██▊ | 287/999 [00:34<01:18, 9.11it/s]\nDDIM Sampler: 29%|██▉ | 289/999 [00:34<01:14, 9.48it/s]\nDDIM Sampler: 29%|██▉ | 291/999 [00:34<01:10, 10.04it/s]\nDDIM Sampler: 29%|██▉ | 293/999 [00:34<01:08, 10.32it/s]\nDDIM Sampler: 30%|██▉ | 295/999 [00:35<01:07, 10.42it/s]\nDDIM Sampler: 30%|██▉ | 297/999 [00:35<01:07, 10.35it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 128.51it/s]\nDDIM Sampler: 30%|██▉ | 299/999 [00:35<01:42, 6.84it/s]\nDDIM Sampler: 30%|███ | 300/999 [00:35<01:36, 7.22it/s]\nDDIM Sampler: 30%|███ | 302/999 [00:36<01:25, 8.17it/s]\nDDIM Sampler: 30%|███ | 304/999 [00:36<01:19, 8.79it/s]\nDDIM Sampler: 31%|███ | 306/999 [00:36<01:14, 9.34it/s]\nDDIM Sampler: 31%|███ | 308/999 [00:36<01:12, 9.53it/s]\nDDIM Sampler: 31%|███ | 310/999 [00:36<01:12, 9.54it/s]\nDDIM Sampler: 31%|███ | 312/999 [00:37<01:10, 9.73it/s]\nDDIM Sampler: 31%|███▏ | 314/999 [00:37<01:07, 10.09it/s]\nDDIM Sampler: 32%|███▏ | 316/999 [00:37<01:08, 9.99it/s]\nDDIM Sampler: 32%|███▏ | 318/999 [00:37<01:08, 10.00it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 42%|████▏ | 5/12 [00:00<00:00, 48.89it/s]\u001b[A\nSaving input blocks feature maps: 92%|█████████▏| 11/12 [00:00<00:00, 52.88it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 51.93it/s]\nDDIM Sampler: 32%|███▏ | 320/999 [00:38<01:53, 5.96it/s]\nDDIM Sampler: 32%|███▏ | 322/999 [00:38<01:37, 6.97it/s]\nDDIM Sampler: 32%|███▏ | 324/999 [00:38<01:25, 7.88it/s]\nDDIM Sampler: 33%|███▎ | 326/999 [00:38<01:17, 8.67it/s]\nDDIM Sampler: 33%|███▎ | 328/999 [00:39<01:12, 9.32it/s]\nDDIM Sampler: 33%|███▎ | 330/999 [00:39<01:08, 9.83it/s]\nDDIM Sampler: 33%|███▎ | 332/999 [00:39<01:05, 10.25it/s]\nDDIM Sampler: 33%|███▎ | 334/999 [00:39<01:02, 10.59it/s]\nDDIM Sampler: 34%|███▎ | 336/999 [00:39<01:04, 10.34it/s]\nDDIM Sampler: 34%|███▍ | 338/999 [00:39<01:04, 10.31it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 133.10it/s]\nDDIM Sampler: 34%|███▍ | 340/999 [00:40<01:33, 7.09it/s]\nDDIM Sampler: 34%|███▍ | 342/999 [00:40<01:23, 7.89it/s]\nDDIM Sampler: 34%|███▍ | 343/999 [00:40<01:20, 8.17it/s]\nDDIM Sampler: 35%|███▍ | 345/999 [00:40<01:14, 8.73it/s]\nDDIM Sampler: 35%|███▍ | 346/999 [00:41<01:13, 8.83it/s]\nDDIM Sampler: 35%|███▍ | 347/999 [00:41<01:12, 8.97it/s]\nDDIM Sampler: 35%|███▍ | 348/999 [00:41<01:11, 9.11it/s]\nDDIM Sampler: 35%|███▍ | 349/999 [00:41<01:10, 9.22it/s]\nDDIM Sampler: 35%|███▌ | 351/999 [00:41<01:07, 9.67it/s]\nDDIM Sampler: 35%|███▌ | 352/999 [00:41<01:06, 9.69it/s]\nDDIM Sampler: 35%|███▌ | 353/999 [00:41<01:06, 9.70it/s]\nDDIM Sampler: 35%|███▌ | 354/999 [00:41<01:06, 9.69it/s]\nDDIM Sampler: 36%|███▌ | 355/999 [00:41<01:06, 9.76it/s]\nDDIM Sampler: 36%|███▌ | 357/999 [00:42<01:01, 10.46it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 120.15it/s]\nDDIM Sampler: 36%|███▌ | 359/999 [00:42<01:40, 6.38it/s]\nDDIM Sampler: 36%|███▌ | 361/999 [00:42<01:24, 7.58it/s]\nDDIM Sampler: 36%|███▋ | 363/999 [00:43<01:17, 8.25it/s]\nDDIM Sampler: 37%|███▋ | 365/999 [00:43<01:10, 8.96it/s]\nDDIM Sampler: 37%|███▋ | 367/999 [00:43<01:06, 9.49it/s]\nDDIM Sampler: 37%|███▋ | 369/999 [00:43<01:04, 9.76it/s]\nDDIM Sampler: 37%|███▋ | 371/999 [00:43<01:03, 9.87it/s]\nDDIM Sampler: 37%|███▋ | 373/999 [00:43<01:03, 9.90it/s]\nDDIM Sampler: 38%|███▊ | 375/999 [00:44<01:01, 10.15it/s]\nDDIM Sampler: 38%|███▊ | 377/999 [00:44<01:00, 10.21it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 42%|████▏ | 5/12 [00:00<00:00, 45.23it/s]\u001b[A\nSaving input blocks feature maps: 83%|████████▎ | 10/12 [00:00<00:00, 23.65it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 27.93it/s]\nDDIM Sampler: 38%|███▊ | 379/999 [00:45<02:01, 5.10it/s]\nDDIM Sampler: 38%|███▊ | 380/999 [00:45<01:51, 5.57it/s]\nDDIM Sampler: 38%|███▊ | 382/999 [00:45<01:33, 6.57it/s]\nDDIM Sampler: 38%|███▊ | 384/999 [00:45<01:22, 7.43it/s]\nDDIM Sampler: 39%|███▊ | 385/999 [00:45<01:19, 7.75it/s]\nDDIM Sampler: 39%|███▊ | 387/999 [00:46<01:12, 8.41it/s]\nDDIM Sampler: 39%|███▉ | 389/999 [00:46<01:08, 8.92it/s]\nDDIM Sampler: 39%|███▉ | 391/999 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27.04it/s]\nDDIM Sampler: 90%|████████▉ | 899/999 [01:48<00:19, 5.02it/s]\nDDIM Sampler: 90%|█████████ | 901/999 [01:48<00:16, 5.99it/s]\nDDIM Sampler: 90%|█████████ | 903/999 [01:48<00:13, 6.88it/s]\nDDIM Sampler: 91%|█████████ | 905/999 [01:48<00:12, 7.67it/s]\nDDIM Sampler: 91%|█████████ | 906/999 [01:48<00:11, 7.99it/s]\nDDIM Sampler: 91%|█████████ | 907/999 [01:49<00:11, 8.32it/s]\nDDIM Sampler: 91%|█████████ | 909/999 [01:49<00:10, 8.93it/s]\nDDIM Sampler: 91%|█████████ | 910/999 [01:49<00:09, 9.05it/s]\nDDIM Sampler: 91%|█████████▏| 912/999 [01:49<00:09, 9.62it/s]\nDDIM Sampler: 91%|█████████▏| 914/999 [01:49<00:08, 9.99it/s]\nDDIM Sampler: 92%|█████████▏| 916/999 [01:49<00:08, 9.97it/s]\nDDIM Sampler: 92%|█████████▏| 918/999 [01:50<00:07, 10.21it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 58%|█████▊ | 7/12 [00:00<00:00, 64.51it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 26.01it/s]\nDDIM Sampler: 92%|█████████▏| 920/999 [01:50<00:16, 4.71it/s]\nDDIM Sampler: 92%|█████████▏| 921/999 [01:51<00:15, 5.20it/s]\nDDIM Sampler: 92%|█████████▏| 923/999 [01:51<00:12, 6.26it/s]\nDDIM Sampler: 92%|█████████▏| 924/999 [01:51<00:11, 6.73it/s]\nDDIM Sampler: 93%|█████████▎| 926/999 [01:51<00:09, 7.69it/s]\nDDIM Sampler: 93%|█████████▎| 928/999 [01:51<00:08, 8.50it/s]\nDDIM Sampler: 93%|█████████▎| 930/999 [01:51<00:07, 9.08it/s]\nDDIM Sampler: 93%|█████████▎| 932/999 [01:52<00:06, 9.70it/s]\nDDIM Sampler: 93%|█████████▎| 934/999 [01:52<00:06, 10.15it/s]\nDDIM Sampler: 94%|█████████▎| 936/999 [01:52<00:06, 10.47it/s]\nDDIM Sampler: 94%|█████████▍| 938/999 [01:52<00:05, 10.71it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 50%|█████ | 6/12 [00:00<00:00, 57.18it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 13.33it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 15.06it/s]\nDDIM Sampler: 94%|█████████▍| 940/999 [01:53<00:14, 4.04it/s]\nDDIM Sampler: 94%|█████████▍| 941/999 [01:53<00:12, 4.47it/s]\nDDIM Sampler: 94%|█████████▍| 943/999 [01:54<00:10, 5.52it/s]\nDDIM Sampler: 94%|█████████▍| 944/999 [01:54<00:09, 6.01it/s]\nDDIM Sampler: 95%|█████████▍| 946/999 [01:54<00:07, 7.13it/s]\nDDIM Sampler: 95%|█████████▍| 948/999 [01:54<00:06, 7.92it/s]\nDDIM Sampler: 95%|█████████▍| 949/999 [01:54<00:06, 8.25it/s]\nDDIM Sampler: 95%|█████████▌| 950/999 [01:54<00:05, 8.53it/s]\nDDIM Sampler: 95%|█████████▌| 951/999 [01:54<00:05, 8.73it/s]\nDDIM Sampler: 95%|█████████▌| 953/999 [01:55<00:04, 9.38it/s]\nDDIM Sampler: 96%|█████████▌| 955/999 [01:55<00:04, 9.70it/s]\nDDIM Sampler: 96%|█████████▌| 957/999 [01:55<00:04, 9.75it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 42%|████▏ | 5/12 [00:00<00:00, 46.38it/s]\u001b[A\nSaving input blocks feature maps: 83%|████████▎ | 10/12 [00:00<00:00, 13.87it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 13.04it/s]\nDDIM Sampler: 96%|█████████▌| 959/999 [01:56<00:11, 3.43it/s]\nDDIM Sampler: 96%|█████████▌| 960/999 [01:57<00:09, 3.92it/s]\nDDIM Sampler: 96%|█████████▌| 961/999 [01:57<00:08, 4.48it/s]\nDDIM Sampler: 96%|█████████▋| 963/999 [01:57<00:06, 5.69it/s]\nDDIM Sampler: 97%|█████████▋| 965/999 [01:57<00:05, 6.75it/s]\nDDIM Sampler: 97%|█████████▋| 967/999 [01:57<00:04, 7.57it/s]\nDDIM Sampler: 97%|█████████▋| 968/999 [01:57<00:03, 7.93it/s]\nDDIM Sampler: 97%|█████████▋| 969/999 [01:57<00:03, 8.29it/s]\nDDIM Sampler: 97%|█████████▋| 971/999 [01:58<00:03, 8.86it/s]\nDDIM Sampler: 97%|█████████▋| 973/999 [01:58<00:02, 9.34it/s]\nDDIM Sampler: 98%|█████████▊| 975/999 [01:58<00:02, 9.70it/s]\nDDIM Sampler: 98%|█████████▊| 977/999 [01:58<00:02, 10.01it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 50%|█████ | 6/12 [00:00<00:00, 39.58it/s]\u001b[A\nSaving input blocks feature maps: 83%|████████▎ | 10/12 [00:00<00:00, 14.71it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 14.74it/s]\nDDIM Sampler: 98%|█████████▊| 979/999 [01:59<00:05, 3.65it/s]\nDDIM Sampler: 98%|█████████▊| 980/999 [02:00<00:04, 4.11it/s]\nDDIM Sampler: 98%|█████████▊| 981/999 [02:00<00:03, 4.63it/s]\nDDIM Sampler: 98%|█████████▊| 983/999 [02:00<00:02, 5.76it/s]\nDDIM Sampler: 98%|█████████▊| 984/999 [02:00<00:02, 6.29it/s]\nDDIM Sampler: 99%|█████████▊| 985/999 [02:00<00:02, 6.75it/s]\nDDIM Sampler: 99%|█████████▉| 987/999 [02:00<00:01, 7.63it/s]\nDDIM Sampler: 99%|█████████▉| 988/999 [02:00<00:01, 8.03it/s]\nDDIM Sampler: 99%|█████████▉| 989/999 [02:01<00:01, 8.34it/s]\nDDIM Sampler: 99%|█████████▉| 991/999 [02:01<00:00, 9.00it/s]\nDDIM Sampler: 99%|█████████▉| 992/999 [02:01<00:00, 9.07it/s]\nDDIM Sampler: 99%|█████████▉| 993/999 [02:01<00:00, 9.10it/s]\nDDIM Sampler: 99%|█████████▉| 994/999 [02:01<00:00, 9.29it/s]\nDDIM Sampler: 100%|█████████▉| 995/999 [02:01<00:00, 9.41it/s]\nDDIM Sampler: 100%|█████████▉| 997/999 [02:01<00:00, 9.62it/s]\nDDIM Sampler: 100%|█████████▉| 998/999 [02:01<00:00, 9.66it/s]\nSaving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]\u001b[A\nSaving input blocks feature maps: 50%|█████ | 6/12 [00:00<00:00, 57.23it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 24.26it/s]\u001b[A\nSaving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 26.53it/s]\nDDIM Sampler: 100%|██████████| 999/999 [02:02<00:00, 3.73it/s]\nDDIM Sampler: 100%|██████████| 999/999 [02:02<00:00, 8.14it/s]\nSampled images and extracted features saved in: ./outputs_real\nGlobal seed set to 50\nloading source experiment features: 0%| | 0/50 [00:00<?, ?it/s]\nloading source experiment features: 4%|▍ | 2/50 [00:00<00:02, 16.35it/s]\nloading source experiment features: 8%|▊ | 4/50 [00:00<00:02, 17.17it/s]\nloading source experiment features: 14%|█▍ | 7/50 [00:00<00:02, 19.73it/s]\nloading source experiment features: 18%|█▊ | 9/50 [00:00<00:02, 17.87it/s]\nloading source experiment features: 24%|██▍ | 12/50 [00:00<00:02, 18.22it/s]\nloading source experiment features: 30%|███ | 15/50 [00:00<00:01, 19.68it/s]\nloading source experiment features: 36%|███▌ | 18/50 [00:00<00:01, 19.23it/s]\nloading source experiment features: 42%|████▏ | 21/50 [00:01<00:01, 19.45it/s]\nloading source experiment features: 46%|████▌ | 23/50 [00:01<00:01, 18.70it/s]\nloading source experiment features: 50%|█████ | 25/50 [00:01<00:01, 18.57it/s]\nloading source experiment features: 100%|██████████| 50/50 [00:01<00:00, 35.97it/s]\nData shape for DDIM sampling is (3, 4, 64, 64), eta 0.0\nRunning DDIM Sampling with 50 timesteps\nDDIM Sampler: 0%| | 0/50 [00:00<?, ?it/s]\nDDIM Sampler: 2%|▏ | 1/50 [00:01<01:04, 1.31s/it]\nDDIM Sampler: 4%|▍ | 2/50 [00:02<00:54, 1.14s/it]\nDDIM Sampler: 6%|▌ | 3/50 [00:03<00:48, 1.03s/it]\nDDIM Sampler: 8%|▊ | 4/50 [00:04<00:45, 1.01it/s]\nDDIM Sampler: 10%|█ | 5/50 [00:05<00:44, 1.02it/s]\nDDIM Sampler: 12%|█▏ | 6/50 [00:06<00:42, 1.03it/s]\nDDIM Sampler: 14%|█▍ | 7/50 [00:07<00:43, 1.00s/it]\nDDIM Sampler: 16%|█▌ | 8/50 [00:08<00:45, 1.08s/it]\nDDIM Sampler: 18%|█▊ | 9/50 [00:09<00:44, 1.08s/it]\nDDIM Sampler: 20%|██ | 10/50 [00:10<00:42, 1.07s/it]\nDDIM Sampler: 22%|██▏ | 11/50 [00:11<00:42, 1.09s/it]\nDDIM Sampler: 24%|██▍ | 12/50 [00:12<00:40, 1.07s/it]\nDDIM Sampler: 26%|██▌ | 13/50 [00:13<00:38, 1.04s/it]\nDDIM Sampler: 28%|██▊ | 14/50 [00:14<00:36, 1.01s/it]\nDDIM Sampler: 30%|███ | 15/50 [00:15<00:34, 1.01it/s]\nDDIM Sampler: 32%|███▏ | 16/50 [00:16<00:33, 1.01it/s]\nDDIM Sampler: 34%|███▍ | 17/50 [00:17<00:32, 1.01it/s]\nDDIM Sampler: 36%|███▌ | 18/50 [00:18<00:33, 1.04s/it]\nDDIM Sampler: 38%|███▊ | 19/50 [00:19<00:32, 1.04s/it]\nDDIM Sampler: 40%|████ | 20/50 [00:20<00:31, 1.06s/it]\nDDIM Sampler: 42%|████▏ | 21/50 [00:21<00:30, 1.04s/it]\nDDIM Sampler: 44%|████▍ | 22/50 [00:22<00:28, 1.01s/it]\nDDIM Sampler: 46%|████▌ | 23/50 [00:23<00:26, 1.02it/s]\nDDIM Sampler: 48%|████▊ | 24/50 [00:24<00:24, 1.05it/s]\nDDIM Sampler: 50%|█████ | 25/50 [00:25<00:24, 1.03it/s]\nDDIM Sampler: 52%|█████▏ | 26/50 [00:26<00:23, 1.04it/s]\nDDIM Sampler: 54%|█████▍ | 27/50 [00:27<00:21, 1.05it/s]\nDDIM Sampler: 56%|█████▌ | 28/50 [00:28<00:20, 1.05it/s]\nDDIM Sampler: 58%|█████▊ | 29/50 [00:29<00:19, 1.06it/s]\nDDIM Sampler: 60%|██████ | 30/50 [00:30<00:18, 1.08it/s]\nDDIM Sampler: 62%|██████▏ | 31/50 [00:31<00:17, 1.08it/s]\nDDIM Sampler: 64%|██████▍ | 32/50 [00:31<00:16, 1.09it/s]\nDDIM Sampler: 66%|██████▌ | 33/50 [00:32<00:15, 1.09it/s]\nDDIM Sampler: 68%|██████▊ | 34/50 [00:33<00:14, 1.09it/s]\nDDIM Sampler: 70%|███████ | 35/50 [00:34<00:13, 1.08it/s]\nDDIM Sampler: 72%|███████▏ | 36/50 [00:35<00:13, 1.04it/s]\nDDIM Sampler: 74%|███████▍ | 37/50 [00:36<00:12, 1.04it/s]\nDDIM Sampler: 76%|███████▌ | 38/50 [00:37<00:11, 1.04it/s]\nDDIM Sampler: 78%|███████▊ | 39/50 [00:38<00:10, 1.06it/s]\nDDIM Sampler: 80%|████████ | 40/50 [00:39<00:09, 1.08it/s]\nDDIM Sampler: 82%|████████▏ | 41/50 [00:40<00:08, 1.10it/s]\nDDIM Sampler: 84%|████████▍ | 42/50 [00:41<00:07, 1.11it/s]\nDDIM Sampler: 86%|████████▌ | 43/50 [00:42<00:06, 1.10it/s]\nDDIM Sampler: 88%|████████▊ | 44/50 [00:43<00:05, 1.11it/s]\nDDIM Sampler: 90%|█████████ | 45/50 [00:43<00:04, 1.11it/s]\nDDIM Sampler: 92%|█████████▏| 46/50 [00:44<00:03, 1.12it/s]\nDDIM Sampler: 94%|█████████▍| 47/50 [00:45<00:02, 1.11it/s]\nDDIM Sampler: 96%|█████████▌| 48/50 [00:46<00:01, 1.12it/s]\nDDIM Sampler: 98%|█████████▊| 49/50 [00:47<00:00, 1.11it/s]\nDDIM Sampler: 100%|██████████| 50/50 [00:48<00:00, 1.13it/s]\nDDIM Sampler: 100%|██████████| 50/50 [00:48<00:00, 1.03it/s]\nPnP results saved in: ./outputs_real/translations/10.0_a_photo_of_a_robot_horse; ./outputs_real/translations/10.0_a_photo_of_a_bronze_horse_in_a_museum; ./outputs_real/translations/10.0_a_photo_of_a_pink_toy_horse_on_the_beach",
"metrics": {
"predict_time": 264.233229,
"total_time": 264.293575
},
"output": [
"https://replicate.delivery/pbxt/rSMDxOabNj5FBRqyXYWxmVhWX0CRgkBrnSaSGTa0LeklazOIA/INJECTION_T_40_STEPS_50_NP-ALPHA_1.0_SCHEDULE_linear_NP_a_photo_of_a_white_horse_sample_0.png",
"https://replicate.delivery/pbxt/8dm0LYBzGZ4JKpdIPn83FEauXV20BzSXp7AkWeeDtMVM1mdQA/INJECTION_T_40_STEPS_50_NP-ALPHA_1.0_SCHEDULE_linear_NP_a_photo_of_a_white_horse_sample_1.png",
"https://replicate.delivery/pbxt/wzTCnazPb3IZPVWflBQTw0iS0ZwebFJUHq5uXy47yB7M1mdQA/INJECTION_T_40_STEPS_50_NP-ALPHA_1.0_SCHEDULE_linear_NP_a_photo_of_a_white_horse_sample_2.png"
],
"started_at": "2023-02-12T10:07:01.096378Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/c3dmylmonrcwbcs3dkp6wtyrae",
"cancel": "https://api.replicate.com/v1/predictions/c3dmylmonrcwbcs3dkp6wtyrae/cancel"
},
"version": "f41455dcccccc775b576afc6df93c0d6ff0166239f7bb59ffa7acbba8c154ab8"
}Generated in
Global seed set to 50
loaded input image of size (512, 512) from /tmp/tmpjn4wp4pbhorse.png
Running DDIM inversion with 999 timesteps
DDIM Inversion: 0%| | 0/999 [00:00<?, ?it/s]
DDIM Inversion: 0%| | 2/999 [00:00<01:30, 10.97it/s]
DDIM Inversion: 0%| | 4/999 [00:00<01:26, 11.54it/s]
DDIM Inversion: 1%| | 6/999 [00:00<01:26, 11.50it/s]
DDIM Inversion: 1%| | 8/999 [00:00<01:23, 11.92it/s]
DDIM Inversion: 1%| | 10/999 [00:00<01:20, 12.23it/s]
DDIM Inversion: 1%| | 12/999 [00:00<01:19, 12.48it/s]
DDIM Inversion: 1%|▏ | 14/999 [00:01<01:17, 12.67it/s]
DDIM Inversion: 2%|▏ | 16/999 [00:01<01:17, 12.75it/s]
DDIM Inversion: 2%|▏ | 18/999 [00:01<01:20, 12.17it/s]
DDIM Inversion: 2%|▏ | 20/999 [00:01<01:19, 12.28it/s]
DDIM Inversion: 2%|▏ | 22/999 [00:01<01:21, 11.98it/s]
DDIM Inversion: 2%|▏ | 24/999 [00:02<01:24, 11.56it/s]
DDIM Inversion: 3%|▎ | 26/999 [00:02<01:21, 11.99it/s]
DDIM Inversion: 3%|▎ | 28/999 [00:02<01:24, 11.52it/s]
DDIM Inversion: 3%|▎ | 30/999 [00:02<01:24, 11.42it/s]
DDIM Inversion: 3%|▎ | 32/999 [00:02<01:23, 11.58it/s]
DDIM Inversion: 3%|▎ | 34/999 [00:02<01:22, 11.67it/s]
DDIM Inversion: 4%|▎ | 36/999 [00:03<01:21, 11.84it/s]
DDIM Inversion: 4%|▍ | 38/999 [00:03<01:19, 12.12it/s]
DDIM Inversion: 4%|▍ | 40/999 [00:03<01:18, 12.22it/s]
DDIM Inversion: 4%|▍ | 42/999 [00:03<01:19, 12.07it/s]
DDIM Inversion: 4%|▍ | 44/999 [00:03<01:17, 12.33it/s]
DDIM Inversion: 5%|▍ | 46/999 [00:03<01:19, 11.94it/s]
DDIM Inversion: 5%|▍ | 48/999 [00:04<01:20, 11.83it/s]
DDIM Inversion: 5%|▌ | 50/999 [00:04<01:19, 12.01it/s]
DDIM Inversion: 5%|▌ | 52/999 [00:04<01:21, 11.67it/s]
DDIM Inversion: 5%|▌ | 54/999 [00:04<01:19, 11.82it/s]
DDIM Inversion: 6%|▌ | 56/999 [00:04<01:18, 11.96it/s]
DDIM Inversion: 6%|▌ | 58/999 [00:04<01:17, 12.14it/s]
DDIM Inversion: 6%|▌ | 60/999 [00:05<01:18, 12.03it/s]
DDIM Inversion: 6%|▌ | 62/999 [00:05<01:16, 12.24it/s]
DDIM Inversion: 6%|▋ | 64/999 [00:05<01:19, 11.78it/s]
DDIM Inversion: 7%|▋ | 66/999 [00:05<01:18, 11.90it/s]
DDIM Inversion: 7%|▋ | 68/999 [00:05<01:16, 12.16it/s]
DDIM Inversion: 7%|▋ | 70/999 [00:05<01:20, 11.54it/s]
DDIM Inversion: 7%|▋ | 72/999 [00:06<01:23, 11.08it/s]
DDIM Inversion: 7%|▋ | 74/999 [00:06<01:26, 10.75it/s]
DDIM Inversion: 8%|▊ | 76/999 [00:06<01:26, 10.72it/s]
DDIM Inversion: 8%|▊ | 78/999 [00:06<01:25, 10.79it/s]
DDIM Inversion: 8%|▊ | 80/999 [00:06<01:25, 10.73it/s]
DDIM Inversion: 8%|▊ | 82/999 [00:07<01:25, 10.74it/s]
DDIM Inversion: 8%|▊ | 84/999 [00:07<01:22, 11.15it/s]
DDIM Inversion: 9%|▊ | 86/999 [00:07<01:18, 11.58it/s]
DDIM Inversion: 9%|▉ | 88/999 [00:07<01:17, 11.76it/s]
DDIM Inversion: 9%|▉ | 90/999 [00:07<01:15, 12.08it/s]
DDIM Inversion: 9%|▉ | 92/999 [00:07<01:13, 12.31it/s]
DDIM Inversion: 9%|▉ | 94/999 [00:07<01:15, 11.95it/s]
DDIM Inversion: 10%|▉ | 96/999 [00:08<01:19, 11.32it/s]
DDIM Inversion: 10%|▉ | 98/999 [00:08<01:21, 10.99it/s]
DDIM Inversion: 10%|█ | 100/999 [00:08<01:20, 11.13it/s]
DDIM Inversion: 10%|█ | 102/999 [00:08<01:18, 11.41it/s]
DDIM Inversion: 10%|█ | 104/999 [00:08<01:18, 11.38it/s]
DDIM Inversion: 11%|█ | 106/999 [00:09<01:19, 11.21it/s]
DDIM Inversion: 11%|█ | 108/999 [00:09<01:18, 11.30it/s]
DDIM Inversion: 11%|█ | 110/999 [00:09<01:18, 11.37it/s]
DDIM Inversion: 11%|█ | 112/999 [00:09<01:24, 10.54it/s]
DDIM Inversion: 11%|█▏ | 114/999 [00:09<01:22, 10.76it/s]
DDIM Inversion: 12%|█▏ | 116/999 [00:10<01:21, 10.82it/s]
DDIM Inversion: 12%|█▏ | 118/999 [00:10<01:21, 10.81it/s]
DDIM Inversion: 12%|█▏ | 120/999 [00:10<01:19, 11.12it/s]
DDIM Inversion: 12%|█▏ | 122/999 [00:10<01:17, 11.26it/s]
DDIM Inversion: 12%|█▏ | 124/999 [00:10<01:17, 11.31it/s]
DDIM Inversion: 13%|█▎ | 126/999 [00:10<01:21, 10.73it/s]
DDIM Inversion: 13%|█▎ | 128/999 [00:11<01:18, 11.06it/s]
DDIM Inversion: 13%|█▎ | 130/999 [00:11<01:20, 10.77it/s]
DDIM Inversion: 13%|█▎ | 132/999 [00:11<01:19, 10.90it/s]
DDIM Inversion: 13%|█▎ | 134/999 [00:11<01:15, 11.49it/s]
DDIM Inversion: 14%|█▎ | 136/999 [00:11<01:12, 11.88it/s]
DDIM Inversion: 14%|█▍ | 138/999 [00:11<01:11, 11.96it/s]
DDIM Inversion: 14%|█▍ | 140/999 [00:12<01:09, 12.32it/s]
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DDIM Inversion: 29%|██▉ | 292/999 [00:25<00:57, 12.40it/s]
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DDIM Inversion: 30%|██▉ | 296/999 [00:25<00:59, 11.76it/s]
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DDIM Inversion: 32%|███▏ | 316/999 [00:27<00:55, 12.26it/s]
DDIM Inversion: 32%|███▏ | 318/999 [00:27<00:56, 12.01it/s]
DDIM Inversion: 32%|███▏ | 320/999 [00:27<00:57, 11.73it/s]
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DDIM Inversion: 33%|███▎ | 326/999 [00:27<01:02, 10.85it/s]
DDIM Inversion: 33%|███▎ | 328/999 [00:28<01:01, 10.94it/s]
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DDIM Inversion: 36%|███▌ | 358/999 [00:30<00:57, 11.10it/s]
DDIM Inversion: 36%|███▌ | 360/999 [00:31<00:56, 11.31it/s]
DDIM Inversion: 36%|███▌ | 362/999 [00:31<00:53, 11.80it/s]
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DDIM Inversion: 38%|███▊ | 384/999 [00:33<00:52, 11.66it/s]
DDIM Inversion: 39%|███▊ | 386/999 [00:33<00:52, 11.77it/s]
DDIM Inversion: 39%|███▉ | 388/999 [00:33<00:51, 11.76it/s]
DDIM Inversion: 39%|███▉ | 390/999 [00:33<00:51, 11.76it/s]
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DDIM Inversion: 40%|███▉ | 396/999 [00:34<00:51, 11.74it/s]
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DDIM Inversion: 41%|████ | 406/999 [00:35<00:53, 11.10it/s]
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DDIM Inversion: 43%|████▎ | 430/999 [00:37<00:51, 11.03it/s]
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DDIM Inversion: 44%|████▎ | 436/999 [00:37<00:50, 11.17it/s]
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DDIM Inversion: 60%|██████ | 604/999 [00:52<00:35, 11.12it/s]
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DDIM Inversion: 62%|██████▏ | 620/999 [00:53<00:33, 11.33it/s]
DDIM Inversion: 62%|██████▏ | 622/999 [00:53<00:33, 11.27it/s]
DDIM Inversion: 62%|██████▏ | 624/999 [00:54<00:33, 11.31it/s]
DDIM Inversion: 63%|██████▎ | 626/999 [00:54<00:33, 10.97it/s]
DDIM Inversion: 63%|██████▎ | 628/999 [00:54<00:33, 11.20it/s]
DDIM Inversion: 63%|██████▎ | 630/999 [00:54<00:32, 11.47it/s]
DDIM Inversion: 63%|██████▎ | 632/999 [00:54<00:35, 10.43it/s]
DDIM Inversion: 63%|██████▎ | 634/999 [00:55<00:34, 10.65it/s]
DDIM Inversion: 64%|██████▎ | 636/999 [00:55<00:32, 11.11it/s]
DDIM Inversion: 64%|██████▍ | 638/999 [00:55<00:32, 11.15it/s]
DDIM Inversion: 64%|██████▍ | 640/999 [00:55<00:31, 11.23it/s]
DDIM Inversion: 64%|██████▍ | 642/999 [00:55<00:30, 11.54it/s]
DDIM Inversion: 64%|██████▍ | 644/999 [00:55<00:30, 11.74it/s]
DDIM Inversion: 65%|██████▍ | 646/999 [00:56<00:30, 11.62it/s]
DDIM Inversion: 65%|██████▍ | 648/999 [00:56<00:30, 11.38it/s]
DDIM Inversion: 65%|██████▌ | 650/999 [00:56<00:31, 11.10it/s]
DDIM Inversion: 65%|██████▌ | 652/999 [00:56<00:32, 10.78it/s]
DDIM Inversion: 65%|██████▌ | 654/999 [00:56<00:31, 10.91it/s]
DDIM Inversion: 66%|██████▌ | 656/999 [00:56<00:31, 10.75it/s]
DDIM Inversion: 66%|██████▌ | 658/999 [00:57<00:30, 11.12it/s]
DDIM Inversion: 66%|██████▌ | 660/999 [00:57<00:31, 10.82it/s]
DDIM Inversion: 66%|██████▋ | 662/999 [00:57<00:31, 10.77it/s]
DDIM Inversion: 66%|██████▋ | 664/999 [00:57<00:30, 10.83it/s]
DDIM Inversion: 67%|██████▋ | 666/999 [00:57<00:30, 10.98it/s]
DDIM Inversion: 67%|██████▋ | 668/999 [00:58<00:29, 11.15it/s]
DDIM Inversion: 67%|██████▋ | 670/999 [00:58<00:29, 10.98it/s]
DDIM Inversion: 67%|██████▋ | 672/999 [00:58<00:29, 10.92it/s]
DDIM Inversion: 67%|██████▋ | 674/999 [00:58<00:29, 10.92it/s]
DDIM Inversion: 68%|██████▊ | 676/999 [00:58<00:29, 10.83it/s]
DDIM Inversion: 68%|██████▊ | 678/999 [00:58<00:29, 10.76it/s]
DDIM Inversion: 68%|██████▊ | 680/999 [00:59<00:29, 10.71it/s]
DDIM Inversion: 68%|██████▊ | 682/999 [00:59<00:30, 10.32it/s]
DDIM Inversion: 68%|██████▊ | 684/999 [00:59<00:30, 10.35it/s]
DDIM Inversion: 69%|██████▊ | 686/999 [00:59<00:30, 10.27it/s]
DDIM Inversion: 69%|██████▉ | 688/999 [00:59<00:30, 10.30it/s]
DDIM Inversion: 69%|██████▉ | 690/999 [01:00<00:29, 10.47it/s]
DDIM Inversion: 69%|██████▉ | 692/999 [01:00<00:29, 10.48it/s]
DDIM Inversion: 69%|██████▉ | 694/999 [01:00<00:29, 10.40it/s]
DDIM Inversion: 70%|██████▉ | 696/999 [01:00<00:28, 10.68it/s]
DDIM Inversion: 70%|██████▉ | 698/999 [01:00<00:27, 10.79it/s]
DDIM Inversion: 70%|███████ | 700/999 [01:01<00:27, 10.71it/s]
DDIM Inversion: 70%|███████ | 702/999 [01:01<00:27, 10.87it/s]
DDIM Inversion: 70%|███████ | 704/999 [01:01<00:28, 10.39it/s]
DDIM Inversion: 71%|███████ | 706/999 [01:01<00:28, 10.34it/s]
DDIM Inversion: 71%|███████ | 708/999 [01:01<00:27, 10.48it/s]
DDIM Inversion: 71%|███████ | 710/999 [01:02<00:27, 10.45it/s]
DDIM Inversion: 71%|███████▏ | 712/999 [01:02<00:27, 10.49it/s]
DDIM Inversion: 71%|███████▏ | 714/999 [01:02<00:27, 10.34it/s]
DDIM Inversion: 72%|███████▏ | 716/999 [01:02<00:27, 10.46it/s]
DDIM Inversion: 72%|███████▏ | 718/999 [01:02<00:27, 10.35it/s]
DDIM Inversion: 72%|███████▏ | 720/999 [01:03<00:26, 10.61it/s]
DDIM Inversion: 72%|███████▏ | 722/999 [01:03<00:26, 10.62it/s]
DDIM Inversion: 72%|███████▏ | 724/999 [01:03<00:26, 10.55it/s]
DDIM Inversion: 73%|███████▎ | 726/999 [01:03<00:25, 10.58it/s]
DDIM Inversion: 73%|███████▎ | 728/999 [01:03<00:25, 10.64it/s]
DDIM Inversion: 73%|███████▎ | 730/999 [01:03<00:24, 11.06it/s]
DDIM Inversion: 73%|███████▎ | 732/999 [01:04<00:23, 11.17it/s]
DDIM Inversion: 73%|███████▎ | 734/999 [01:04<00:23, 11.33it/s]
DDIM Inversion: 74%|███████▎ | 736/999 [01:04<00:23, 11.38it/s]
DDIM Inversion: 74%|███████▍ | 738/999 [01:04<00:22, 11.67it/s]
DDIM Inversion: 74%|███████▍ | 740/999 [01:04<00:21, 12.03it/s]
DDIM Inversion: 74%|███████▍ | 742/999 [01:04<00:20, 12.29it/s]
DDIM Inversion: 74%|███████▍ | 744/999 [01:05<00:21, 11.90it/s]
DDIM Inversion: 75%|███████▍ | 746/999 [01:05<00:21, 11.53it/s]
DDIM Inversion: 75%|███████▍ | 748/999 [01:05<00:21, 11.44it/s]
DDIM Inversion: 75%|███████▌ | 750/999 [01:05<00:21, 11.38it/s]
DDIM Inversion: 75%|███████▌ | 752/999 [01:05<00:21, 11.26it/s]
DDIM Inversion: 75%|███████▌ | 754/999 [01:05<00:21, 11.49it/s]
DDIM Inversion: 76%|███████▌ | 756/999 [01:06<00:22, 10.92it/s]
DDIM Inversion: 76%|███████▌ | 758/999 [01:06<00:23, 10.20it/s]
DDIM Inversion: 76%|███████▌ | 760/999 [01:06<00:23, 10.17it/s]
DDIM Inversion: 76%|███████▋ | 762/999 [01:06<00:23, 10.12it/s]
DDIM Inversion: 76%|███████▋ | 764/999 [01:06<00:22, 10.54it/s]
DDIM Inversion: 77%|███████▋ | 766/999 [01:07<00:21, 10.74it/s]
DDIM Inversion: 77%|███████▋ | 768/999 [01:07<00:21, 10.56it/s]
DDIM Inversion: 77%|███████▋ | 770/999 [01:07<00:21, 10.74it/s]
DDIM Inversion: 77%|███████▋ | 772/999 [01:07<00:21, 10.79it/s]
DDIM Inversion: 77%|███████▋ | 774/999 [01:07<00:20, 11.05it/s]
DDIM Inversion: 78%|███████▊ | 776/999 [01:08<00:20, 10.97it/s]
DDIM Inversion: 78%|███████▊ | 778/999 [01:08<00:20, 10.82it/s]
DDIM Inversion: 78%|███████▊ | 780/999 [01:08<00:20, 10.75it/s]
DDIM Inversion: 78%|███████▊ | 782/999 [01:08<00:20, 10.79it/s]
DDIM Inversion: 78%|███████▊ | 784/999 [01:08<00:19, 10.97it/s]
DDIM Inversion: 79%|███████▊ | 786/999 [01:08<00:19, 11.06it/s]
DDIM Inversion: 79%|███████▉ | 788/999 [01:09<00:19, 11.00it/s]
DDIM Inversion: 79%|███████▉ | 790/999 [01:09<00:19, 10.85it/s]
DDIM Inversion: 79%|███████▉ | 792/999 [01:09<00:19, 10.85it/s]
DDIM Inversion: 79%|███████▉ | 794/999 [01:09<00:18, 10.98it/s]
DDIM Inversion: 80%|███████▉ | 796/999 [01:09<00:18, 10.85it/s]
DDIM Inversion: 80%|███████▉ | 798/999 [01:10<00:18, 10.96it/s]
DDIM Inversion: 80%|████████ | 800/999 [01:10<00:18, 10.99it/s]
DDIM Inversion: 80%|████████ | 802/999 [01:10<00:18, 10.94it/s]
DDIM Inversion: 80%|████████ | 804/999 [01:10<00:18, 10.81it/s]
DDIM Inversion: 81%|████████ | 806/999 [01:10<00:18, 10.63it/s]
DDIM Inversion: 81%|████████ | 808/999 [01:11<00:17, 10.82it/s]
DDIM Inversion: 81%|████████ | 810/999 [01:11<00:17, 11.02it/s]
DDIM Inversion: 81%|████████▏ | 812/999 [01:11<00:16, 11.12it/s]
DDIM Inversion: 81%|████████▏ | 814/999 [01:11<00:16, 11.45it/s]
DDIM Inversion: 82%|████████▏ | 816/999 [01:11<00:16, 11.33it/s]
DDIM Inversion: 82%|████████▏ | 818/999 [01:11<00:16, 11.04it/s]
DDIM Inversion: 82%|████████▏ | 820/999 [01:12<00:15, 11.31it/s]
DDIM Inversion: 82%|████████▏ | 822/999 [01:12<00:15, 11.25it/s]
DDIM Inversion: 82%|████████▏ | 824/999 [01:12<00:15, 11.22it/s]
DDIM Inversion: 83%|████████▎ | 826/999 [01:12<00:15, 11.48it/s]
DDIM Inversion: 83%|████████▎ | 828/999 [01:12<00:14, 11.51it/s]
DDIM Inversion: 83%|████████▎ | 830/999 [01:12<00:14, 11.42it/s]
DDIM Inversion: 83%|████████▎ | 832/999 [01:13<00:14, 11.23it/s]
DDIM Inversion: 83%|████████▎ | 834/999 [01:13<00:14, 11.11it/s]
DDIM Inversion: 84%|████████▎ | 836/999 [01:13<00:14, 10.88it/s]
DDIM Inversion: 84%|████████▍ | 838/999 [01:13<00:14, 11.06it/s]
DDIM Inversion: 84%|████████▍ | 840/999 [01:13<00:14, 11.13it/s]
DDIM Inversion: 84%|████████▍ | 842/999 [01:14<00:13, 11.44it/s]
DDIM Inversion: 84%|████████▍ | 844/999 [01:14<00:13, 11.52it/s]
DDIM Inversion: 85%|████████▍ | 846/999 [01:14<00:13, 11.65it/s]
DDIM Inversion: 85%|████████▍ | 848/999 [01:14<00:13, 10.96it/s]
DDIM Inversion: 85%|████████▌ | 850/999 [01:14<00:13, 11.06it/s]
DDIM Inversion: 85%|████████▌ | 852/999 [01:14<00:13, 11.08it/s]
DDIM Inversion: 85%|████████▌ | 854/999 [01:15<00:13, 11.12it/s]
DDIM Inversion: 86%|████████▌ | 856/999 [01:15<00:12, 11.00it/s]
DDIM Inversion: 86%|████████▌ | 858/999 [01:15<00:12, 11.15it/s]
DDIM Inversion: 86%|████████▌ | 860/999 [01:15<00:12, 11.49it/s]
DDIM Inversion: 86%|████████▋ | 862/999 [01:15<00:12, 11.36it/s]
DDIM Inversion: 86%|████████▋ | 864/999 [01:16<00:12, 11.14it/s]
DDIM Inversion: 87%|████████▋ | 866/999 [01:16<00:11, 11.11it/s]
DDIM Inversion: 87%|████████▋ | 868/999 [01:16<00:11, 11.09it/s]
DDIM Inversion: 87%|████████▋ | 870/999 [01:16<00:11, 11.16it/s]
DDIM Inversion: 87%|████████▋ | 872/999 [01:16<00:11, 11.08it/s]
DDIM Inversion: 87%|████████▋ | 874/999 [01:16<00:11, 11.23it/s]
DDIM Inversion: 88%|████████▊ | 876/999 [01:17<00:10, 11.26it/s]
DDIM Inversion: 88%|████████▊ | 878/999 [01:17<00:10, 11.73it/s]
DDIM Inversion: 88%|████████▊ | 880/999 [01:17<00:10, 11.65it/s]
DDIM Inversion: 88%|████████▊ | 882/999 [01:17<00:10, 11.47it/s]
DDIM Inversion: 88%|████████▊ | 884/999 [01:17<00:10, 11.14it/s]
DDIM Inversion: 89%|████████▊ | 886/999 [01:17<00:10, 11.12it/s]
DDIM Inversion: 89%|████████▉ | 888/999 [01:18<00:09, 11.41it/s]
DDIM Inversion: 89%|████████▉ | 890/999 [01:18<00:09, 11.65it/s]
DDIM Inversion: 89%|████████▉ | 892/999 [01:18<00:09, 11.37it/s]
DDIM Inversion: 89%|████████▉ | 894/999 [01:18<00:08, 11.77it/s]
DDIM Inversion: 90%|████████▉ | 896/999 [01:18<00:08, 11.49it/s]
DDIM Inversion: 90%|████████▉ | 898/999 [01:18<00:08, 11.61it/s]
DDIM Inversion: 90%|█████████ | 900/999 [01:19<00:08, 11.72it/s]
DDIM Inversion: 90%|█████████ | 902/999 [01:19<00:08, 11.52it/s]
DDIM Inversion: 90%|█████████ | 904/999 [01:19<00:08, 11.63it/s]
DDIM Inversion: 91%|█████████ | 906/999 [01:19<00:07, 11.76it/s]
DDIM Inversion: 91%|█████████ | 908/999 [01:19<00:07, 11.60it/s]
DDIM Inversion: 91%|█████████ | 910/999 [01:20<00:07, 11.30it/s]
DDIM Inversion: 91%|█████████▏| 912/999 [01:20<00:07, 11.14it/s]
DDIM Inversion: 91%|█████████▏| 914/999 [01:20<00:07, 11.09it/s]
DDIM Inversion: 92%|█████████▏| 916/999 [01:20<00:07, 10.84it/s]
DDIM Inversion: 92%|█████████▏| 918/999 [01:20<00:07, 10.93it/s]
DDIM Inversion: 92%|█████████▏| 920/999 [01:20<00:07, 10.59it/s]
DDIM Inversion: 92%|█████████▏| 922/999 [01:21<00:07, 10.80it/s]
DDIM Inversion: 92%|█████████▏| 924/999 [01:21<00:06, 11.12it/s]
DDIM Inversion: 93%|█████████▎| 926/999 [01:21<00:06, 10.98it/s]
DDIM Inversion: 93%|█████████▎| 928/999 [01:21<00:06, 10.73it/s]
DDIM Inversion: 93%|█████████▎| 930/999 [01:21<00:06, 10.70it/s]
DDIM Inversion: 93%|█████████▎| 932/999 [01:22<00:06, 10.70it/s]
DDIM Inversion: 93%|█████████▎| 934/999 [01:22<00:05, 11.11it/s]
DDIM Inversion: 94%|█████████▎| 936/999 [01:22<00:05, 10.95it/s]
DDIM Inversion: 94%|█████████▍| 938/999 [01:22<00:05, 11.17it/s]
DDIM Inversion: 94%|█████████▍| 940/999 [01:22<00:05, 11.04it/s]
DDIM Inversion: 94%|█████████▍| 942/999 [01:22<00:05, 10.77it/s]
DDIM Inversion: 94%|█████████▍| 944/999 [01:23<00:04, 11.13it/s]
DDIM Inversion: 95%|█████████▍| 946/999 [01:23<00:04, 11.13it/s]
DDIM Inversion: 95%|█████████▍| 948/999 [01:23<00:04, 10.54it/s]
DDIM Inversion: 95%|█████████▌| 950/999 [01:23<00:04, 10.51it/s]
DDIM Inversion: 95%|█████████▌| 952/999 [01:23<00:04, 10.67it/s]
DDIM Inversion: 95%|█████████▌| 954/999 [01:24<00:04, 10.69it/s]
DDIM Inversion: 96%|█████████▌| 956/999 [01:24<00:04, 10.65it/s]
DDIM Inversion: 96%|█████████▌| 958/999 [01:24<00:03, 10.50it/s]
DDIM Inversion: 96%|█████████▌| 960/999 [01:24<00:03, 10.58it/s]
DDIM Inversion: 96%|█████████▋| 962/999 [01:24<00:03, 10.57it/s]
DDIM Inversion: 96%|█████████▋| 964/999 [01:25<00:03, 10.65it/s]
DDIM Inversion: 97%|█████████▋| 966/999 [01:25<00:03, 10.46it/s]
DDIM Inversion: 97%|█████████▋| 968/999 [01:25<00:03, 10.10it/s]
DDIM Inversion: 97%|█████████▋| 970/999 [01:25<00:02, 10.24it/s]
DDIM Inversion: 97%|█████████▋| 972/999 [01:25<00:02, 10.03it/s]
DDIM Inversion: 97%|█████████▋| 974/999 [01:26<00:02, 9.93it/s]
DDIM Inversion: 98%|█████████▊| 975/999 [01:26<00:02, 9.91it/s]
DDIM Inversion: 98%|█████████▊| 976/999 [01:26<00:02, 9.68it/s]
DDIM Inversion: 98%|█████████▊| 977/999 [01:26<00:02, 9.72it/s]
DDIM Inversion: 98%|█████████▊| 979/999 [01:26<00:01, 10.14it/s]
DDIM Inversion: 98%|█████████▊| 981/999 [01:26<00:01, 10.22it/s]
DDIM Inversion: 98%|█████████▊| 983/999 [01:26<00:01, 10.27it/s]
DDIM Inversion: 99%|█████████▊| 985/999 [01:27<00:01, 10.64it/s]
DDIM Inversion: 99%|█████████▉| 987/999 [01:27<00:01, 10.80it/s]
DDIM Inversion: 99%|█████████▉| 989/999 [01:27<00:00, 10.78it/s]
DDIM Inversion: 99%|█████████▉| 991/999 [01:27<00:00, 11.08it/s]
DDIM Inversion: 99%|█████████▉| 993/999 [01:27<00:00, 11.24it/s]
DDIM Inversion: 100%|█████████▉| 995/999 [01:28<00:00, 11.02it/s]
DDIM Inversion: 100%|█████████▉| 997/999 [01:28<00:00, 10.78it/s]
DDIM Inversion: 100%|██████████| 999/999 [01:28<00:00, 10.94it/s]
DDIM Inversion: 100%|██████████| 999/999 [01:28<00:00, 11.30it/s]
Data shape for DDIM sampling is (1, 4, 64, 64), eta 0.0
Running DDIM Sampling with 999 timesteps
Selected timesteps for ddim sampler: [ 1 21 41 61 81 101 121 141 161 181 201 221 241 261 281 301 321 341
361 381 401 421 441 461 481 501 521 541 561 581 601 621 641 661 681 701
721 741 761 781 801 821 841 861 881 901 921 941 961 981]
DDIM Sampler: 0%| | 0/999 [00:00<?, ?it/s]
DDIM Sampler: 0%| | 2/999 [00:00<01:38, 10.13it/s]
DDIM Sampler: 0%| | 4/999 [00:00<01:34, 10.54it/s]
DDIM Sampler: 1%| | 6/999 [00:00<01:31, 10.89it/s]
DDIM Sampler: 1%| | 8/999 [00:00<01:29, 11.04it/s]
DDIM Sampler: 1%| | 10/999 [00:00<01:28, 11.11it/s]
DDIM Sampler: 1%| | 12/999 [00:01<01:28, 11.17it/s]
DDIM Sampler: 1%|▏ | 14/999 [00:01<01:27, 11.20it/s]
DDIM Sampler: 2%|▏ | 16/999 [00:01<01:28, 11.15it/s]
DDIM Sampler: 2%|▏ | 18/999 [00:01<01:28, 11.14it/s]
Saving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]
Saving input blocks feature maps: 42%|████▏ | 5/12 [00:00<00:00, 36.05it/s]
Saving input blocks feature maps: 75%|███████▌ | 9/12 [00:00<00:00, 11.82it/s]
Saving input blocks feature maps: 92%|█████████▏| 11/12 [00:01<00:00, 7.93it/s]
Saving input blocks feature maps: 100%|██████████| 12/12 [00:01<00:00, 8.79it/s]
DDIM Sampler: 2%|▏ | 20/999 [00:03<05:37, 2.90it/s]
DDIM Sampler: 2%|▏ | 22/999 [00:03<04:21, 3.74it/s]
DDIM Sampler: 2%|▏ | 24/999 [00:03<03:29, 4.65it/s]
DDIM Sampler: 3%|▎ | 25/999 [00:03<03:10, 5.12it/s]
DDIM Sampler: 3%|▎ | 26/999 [00:04<02:51, 5.68it/s]
DDIM Sampler: 3%|▎ | 27/999 [00:04<02:34, 6.29it/s]
DDIM Sampler: 3%|▎ | 29/999 [00:04<02:07, 7.61it/s]
DDIM Sampler: 3%|▎ | 31/999 [00:04<01:52, 8.57it/s]
DDIM Sampler: 3%|▎ | 33/999 [00:04<01:43, 9.34it/s]
DDIM Sampler: 4%|▎ | 35/999 [00:04<01:37, 9.90it/s]
DDIM Sampler: 4%|▎ | 37/999 [00:05<01:36, 9.95it/s]
Saving input blocks feature maps: 0%| | 0/12 [00:00<?, ?it/s]
Saving input blocks feature maps: 92%|█████████▏| 11/12 [00:00<00:00, 104.18it/s]
Saving input blocks feature maps: 100%|██████████| 12/12 [00:00<00:00, 88.82it/s]
DDIM Sampler: 4%|▍ | 39/999 [00:05<02:28, 6.46it/s]
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Sampled images and extracted features saved in: ./outputs_real
Global seed set to 50
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Data shape for DDIM sampling is (3, 4, 64, 64), eta 0.0
Running DDIM Sampling with 50 timesteps
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PnP results saved in: ./outputs_real/translations/10.0_a_photo_of_a_robot_horse; ./outputs_real/translations/10.0_a_photo_of_a_bronze_horse_in_a_museum; ./outputs_real/translations/10.0_a_photo_of_a_pink_toy_horse_on_the_beach