typefile
{
"feature_injection_threshold": 0.8,
"input_image": "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
"negative_prompt": "a photo of a white horse",
"negative_prompt_alpha": 1,
"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"
}npm install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_7I9**********************************
This is your API token. Keep it to yourself.
import Replicate from "replicate";
import fs from "node:fs";
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: {
feature_injection_threshold: 0.8,
input_image: "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
negative_prompt: "a photo of a white horse",
negative_prompt_alpha: 1,
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"
}
}
);
// 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.
pip install replicate
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_7I9**********************************
This is your API token. Keep it to yourself.
import replicate
Run 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={
"feature_injection_threshold": 0.8,
"input_image": "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
"negative_prompt": "a photo of a white horse",
"negative_prompt_alpha": 1,
"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"
}
)
# 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.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=r8_7I9**********************************
This is your API token. Keep it to yourself.
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": {
"feature_injection_threshold": 0.8,
"input_image": "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
"negative_prompt": "a photo of a white horse",
"negative_prompt_alpha": 1,
"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"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{
"id": "c3dmylmonrcwbcs3dkp6wtyrae",
"model": "daanelson/plug_and_play_image_translation",
"version": "f41455dcccccc775b576afc6df93c0d6ff0166239f7bb59ffa7acbba8c154ab8",
"input": {
"feature_injection_threshold": 0.8,
"input_image": "https://replicate.delivery/pbxt/IIh6KBwyj0QL3HSIy2YZkJ1sM1A5FrTqtVe5B0Ez9wGFZHyy/horse.png",
"negative_prompt": "a photo of a white horse",
"negative_prompt_alpha": 1,
"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"
},
"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 [00:02<01:24, 11.42it/s]\nDDIM Inversion: 3%|▎ | 32/999 [00:02<01:23, 11.58it/s]\nDDIM Inversion: 3%|▎ | 34/999 [00:02<01:22, 11.67it/s]\nDDIM Inversion: 4%|▎ | 36/999 [00:03<01:21, 11.84it/s]\nDDIM Inversion: 4%|▍ | 38/999 [00:03<01:19, 12.12it/s]\nDDIM Inversion: 4%|▍ | 40/999 [00:03<01:18, 12.22it/s]\nDDIM Inversion: 4%|▍ | 42/999 [00:03<01:19, 12.07it/s]\nDDIM Inversion: 4%|▍ | 44/999 [00:03<01:17, 12.33it/s]\nDDIM Inversion: 5%|▍ | 46/999 [00:03<01:19, 11.94it/s]\nDDIM Inversion: 5%|▍ | 48/999 [00:04<01:20, 11.83it/s]\nDDIM Inversion: 5%|▌ | 50/999 [00:04<01:19, 12.01it/s]\nDDIM Inversion: 5%|▌ | 52/999 [00:04<01:21, 11.67it/s]\nDDIM Inversion: 5%|▌ | 54/999 [00:04<01:19, 11.82it/s]\nDDIM Inversion: 6%|▌ | 56/999 [00:04<01:18, 11.96it/s]\nDDIM Inversion: 6%|▌ | 58/999 [00:04<01:17, 12.14it/s]\nDDIM Inversion: 6%|▌ | 60/999 [00:05<01:18, 12.03it/s]\nDDIM Inversion: 6%|▌ | 62/999 [00:05<01:16, 12.24it/s]\nDDIM Inversion: 6%|▋ | 64/999 [00:05<01:19, 11.78it/s]\nDDIM Inversion: 7%|▋ | 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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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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: 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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 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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",
"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"
],
"data_removed": false,
"error": null,
"source": "web",
"status": "succeeded",
"created_at": "2023-02-12T10:07:01.036032Z",
"started_at": "2023-02-12T10:07:01.096378Z",
"completed_at": "2023-02-12T10:11:25.329607Z",
"urls": {
"cancel": "https://api.replicate.com/v1/predictions/c3dmylmonrcwbcs3dkp6wtyrae/cancel",
"get": "https://api.replicate.com/v1/predictions/c3dmylmonrcwbcs3dkp6wtyrae"
},
"metrics": {
"predict_time": 264.233229,
"total_time": 264.293575
}
}


