Prediction

Model

philz1337x/clarity-upscaler:0f7cc6c4

ID

h5y4fr3bdzblp6sk54kmk4fupu

Status

Succeeded

Source

Web

Hardware

A40

Total duration

6m 48s

Created

almost 2 years ago by kashmieer

Webhook

–

Input

image: https://replicate.delivery/pbxt/KZuPuU0s6msG4LI83c0uhMrkVg9bPvKDWbhZesQ0I3DKmPed/Diffaiart_LandscapexU_00001_.png
prompt: masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>
negative_prompt: (worst quality, low quality, normal quality:2) JuggernautNegative-neg
scale_factor: 2
dynamic: 6
creativity: 0.35
resemblance: 0.6
scheduler: DPM++ 3M SDE Karras
num_inference_steps: 24
seed: 1337

{
  "creativity": 0.35,
  "dynamic": 6,
  "image": "https://replicate.delivery/pbxt/KZuPuU0s6msG4LI83c0uhMrkVg9bPvKDWbhZesQ0I3DKmPed/Diffaiart_LandscapexU_00001_.png",
  "negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
  "num_inference_steps": 24,
  "prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
  "resemblance": 0.6,
  "scale_factor": 2,
  "scheduler": "DPM++ 3M SDE Karras",
  "seed": 1337
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_FhN**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run philz1337x/clarity-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "philz1337x/clarity-upscaler:0f7cc6c487551b0b9a4063de32002e6663249de8ff23c367531d7a02ceeffc65",
  {
    input: {
      creativity: 0.35,
      dynamic: 6,
      image: "https://replicate.delivery/pbxt/KZuPuU0s6msG4LI83c0uhMrkVg9bPvKDWbhZesQ0I3DKmPed/Diffaiart_LandscapexU_00001_.png",
      negative_prompt: "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
      num_inference_steps: 24,
      prompt: "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
      resemblance: 0.6,
      scale_factor: 2,
      scheduler: "DPM++ 3M SDE Karras",
      seed: 1337
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_FhN**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run philz1337x/clarity-upscaler using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "philz1337x/clarity-upscaler:0f7cc6c487551b0b9a4063de32002e6663249de8ff23c367531d7a02ceeffc65",
    input={
        "creativity": 0.35,
        "dynamic": 6,
        "image": "https://replicate.delivery/pbxt/KZuPuU0s6msG4LI83c0uhMrkVg9bPvKDWbhZesQ0I3DKmPed/Diffaiart_LandscapexU_00001_.png",
        "negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
        "num_inference_steps": 24,
        "prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
        "resemblance": 0.6,
        "scale_factor": 2,
        "scheduler": "DPM++ 3M SDE Karras",
        "seed": 1337
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_FhN**********************************

This is your API token. Keep it to yourself.

Run philz1337x/clarity-upscaler 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": "philz1337x/clarity-upscaler:0f7cc6c487551b0b9a4063de32002e6663249de8ff23c367531d7a02ceeffc65",
    "input": {
      "creativity": 0.35,
      "dynamic": 6,
      "image": "https://replicate.delivery/pbxt/KZuPuU0s6msG4LI83c0uhMrkVg9bPvKDWbhZesQ0I3DKmPed/Diffaiart_LandscapexU_00001_.png",
      "negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
      "num_inference_steps": 24,
      "prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
      "resemblance": 0.6,
      "scale_factor": 2,
      "scheduler": "DPM++ 3M SDE Karras",
      "seed": 1337
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

{
  "id": "h5y4fr3bdzblp6sk54kmk4fupu",
  "model": "philz1337x/clarity-upscaler",
  "version": "0f7cc6c487551b0b9a4063de32002e6663249de8ff23c367531d7a02ceeffc65",
  "input": {
    "creativity": 0.35,
    "dynamic": 6,
    "image": "https://replicate.delivery/pbxt/KZuPuU0s6msG4LI83c0uhMrkVg9bPvKDWbhZesQ0I3DKmPed/Diffaiart_LandscapexU_00001_.png",
    "negative_prompt": "(worst quality, low quality, normal quality:2) JuggernautNegative-neg",
    "num_inference_steps": 24,
    "prompt": "masterpiece, best quality, highres, <lora:more_details:0.5> <lora:SDXLrender_v2.0:1>",
    "resemblance": 0.6,
    "scale_factor": 2,
    "scheduler": "DPM++ 3M SDE Karras",
    "seed": 1337
  },
  "logs": "[Tiled Diffusion] upscaling image with 4x-UltraSharp...\n[Tiled Diffusion] ControlNet found, support is enabled.\n2024-03-16 06:13:03,086 - ControlNet - \u001b[0;32mINFO\u001b[0m - unit_separate = False, style_align = False\n2024-03-16 06:13:03,086 - ControlNet - \u001b[0;32mINFO\u001b[0m - Loading model from cache: control_v11f1e_sd15_tile\n2024-03-16 06:13:03,183 - ControlNet - \u001b[0;32mINFO\u001b[0m - Using preprocessor: tile_resample\n2024-03-16 06:13:03,183 - ControlNet - \u001b[0;32mINFO\u001b[0m - preprocessor resolution = 6144\n2024-03-16 06:13:03,909 - ControlNet - \u001b[0;32mINFO\u001b[0m - ControlNet Hooked - Time = 0.8282740116119385\nMultiDiffusion hooked into 'DPM++ 3M SDE Karras' sampler, Tile size: 144x112, Tile count: 48, Batch size: 8, Tile batches: 6 (ext: ContrlNet)\nMultiDiffusion Sampling:   0%|          | 0/42 [00:00<?, ?it/s]\nMultiDiffusion Sampling:   0%|          | 0/7 [01:10<?, ?it/s]\n[Tiled VAE]: input_size: torch.Size([1, 3, 6144, 6144]), tile_size: 3072, padding: 32\n[Tiled VAE]: split to 2x2 = 4 tiles. Optimal tile size 3040x3040, original tile size 3072x3072\n[Tiled VAE]: Fast mode enabled, estimating group norm parameters on 3072 x 3072 image\n[Tiled VAE]: Executing Encoder Task Queue:   0%|          | 0/364 [00:00<?, ?it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:   5%|▌         | 19/364 [00:00<00:16, 21.49it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:   6%|▌         | 22/364 [00:01<00:17, 19.80it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  10%|█         | 38/364 [00:01<00:17, 18.97it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  11%|█         | 40/364 [00:02<00:18, 17.40it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  16%|█▌        | 57/364 [00:03<00:16, 18.47it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  16%|█▌        | 59/364 [00:03<00:17, 17.22it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  21%|██        | 76/364 [00:04<00:15, 18.30it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  22%|██▏     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Queue:  62%|██████▏   | 225/364 [00:19<00:04, 33.52it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  63%|██████▎   | 230/364 [00:19<00:03, 33.65it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  65%|██████▍   | 235/364 [00:19<00:03, 33.51it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  66%|██████▌   | 240/364 [00:19<00:03, 33.21it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  68%|██████▊   | 248/364 [00:19<00:03, 38.59it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  70%|██████▉   | 254/364 [00:19<00:02, 38.08it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  72%|███████▏  | 261/364 [00:20<00:02, 44.99it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  73%|███████▎  | 266/364 [00:20<00:02, 41.62it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  74%|███████▍  | 271/364 [00:20<00:02, 38.65it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  76%|███████▌  | 276/364 [00:20<00:02, 36.74it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  78%|███████▊  | 283/364 [00:20<00:02, 38.76it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  79%|███████▉  | 289/364 [00:20<00:01, 43.32it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  81%|████████  | 294/364 [00:20<00:01, 40.61it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  82%|████████▏ | 299/364 [00:21<00:01, 38.02it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  84%|████████▎ | 304/364 [00:21<00:01, 36.06it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  85%|████████▌ | 310/364 [00:21<00:03, 17.19it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  86%|████████▌ | 313/364 [00:23<00:05,  8.59it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  87%|████████▋ | 316/364 [00:24<00:08,  5.87it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  88%|████████▊ | 319/364 [00:25<00:09,  4.57it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  88%|████████▊ | 321/364 [00:25<00:08,  5.26it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  89%|████████▊ | 323/364 [00:26<00:10,  3.85it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  90%|█████████ | 328/364 [00:26<00:05,  6.20it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  92%|█████████▏| 334/364 [00:26<00:03,  9.52it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  94%|█████████▎| 341/364 [00:26<00:01, 14.64it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  95%|█████████▍| 345/364 [00:26<00:01, 17.38it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue:  97%|█████████▋| 352/364 [00:27<00:00, 23.86it/s]\u001b[A\n[Tiled VAE]: Executing Encoder Task Queue: 100%|██████████| 364/364 [00:27<00:00, 13.38it/s]\n[Tiled VAE]: Done in 28.383s, max VRAM alloc 26698.884 MB\n  0%|          | 0/9 [00:00<?, ?it/s]\u001b[A\nMultiDiffusion Sampling:   2%|▏         | 1/42 [00:32<21:54, 32.05s/it]\nMultiDiffusion Sampling:   5%|▍         | 2/42 [00:37<11:00, 16.52s/it]\nMultiDiffusion Sampling:   7%|▋         | 3/42 [00:43<07:30, 11.56s/it]\nMultiDiffusion Sampling:  10%|▉         | 4/42 [00:49<05:50,  9.23s/it]\nMultiDiffusion Sampling:  12%|█▏        | 5/42 [00:54<04:53,  7.94s/it]\nTotal progress:   0%|          | 0/9 [00:00<?, ?it/s]\u001b[A\n 11%|█         | 1/9 [00:33<04:31, 33.92s/it]\u001b[A\n 22%|██▏       | 2/9 [01:07<03:57, 33.93s/it]\u001b[A\nMultiDiffusion Sampling:  14%|█▍        | 6/42 [01:45<13:31, 22.55s/it]\nMultiDiffusion Sampling:  17%|█▋        | 7/42 [01:51<09:55, 17.02s/it]\nMultiDiffusion Sampling:  19%|█▉        | 8/42 [01:56<07:35, 13.40s/it]\nMultiDiffusion Sampling:  21%|██▏       | 9/42 [02:02<06:02, 10.98s/it]\nTotal progress:  22%|██▏       | 2/9 [00:33<01:58, 16.97s/it]\u001b[A\nMultiDiffusion Sampling:  24%|██▍       | 10/42 [02:08<04:58,  9.34s/it]\n 33%|███▎      | 3/9 [01:41<03:23, 33.93s/it]\u001b[A\nMultiDiffusion Sampling:  26%|██▌       | 11/42 [02:19<05:08,  9.94s/it]\nMultiDiffusion Sampling:  29%|██▊       | 12/42 [02:25<04:19,  8.64s/it]\nMultiDiffusion Sampling:  31%|███       | 13/42 [02:30<03:44,  7.74s/it]\nMultiDiffusion Sampling:  33%|███▎      | 14/42 [02:36<03:19,  7.11s/it]\nTotal progress:  33%|███▎      | 3/9 [01:07<02:24, 24.04s/it]\u001b[A\nMultiDiffusion Sampling:  36%|███▌      | 15/42 [02:42<03:00,  6.67s/it]\n 44%|████▍     | 4/9 [02:15<02:49, 33.94s/it]\u001b[A\nMultiDiffusion Sampling:  38%|███▊      | 16/42 [02:53<03:29,  8.07s/it]\nMultiDiffusion Sampling:  40%|████      | 17/42 [02:59<03:03,  7.35s/it]\nMultiDiffusion Sampling:  43%|████▎     | 18/42 [03:04<02:44,  6.84s/it]\nMultiDiffusion Sampling:  45%|████▌     | 19/42 [03:10<02:29,  6.48s/it]\nTotal progress:  44%|████▍     | 4/9 [01:41<02:18, 27.74s/it]\u001b[A\nMultiDiffusion Sampling:  48%|████▊     | 20/42 [03:16<02:17,  6.24s/it]\n 56%|█████▌    | 5/9 [02:49<02:15, 33.95s/it]\u001b[A\nMultiDiffusion Sampling:  50%|█████     | 21/42 [03:27<02:43,  7.76s/it]\nMultiDiffusion Sampling:  52%|█████▏    | 22/42 [03:33<02:22,  7.13s/it]\nMultiDiffusion Sampling:  55%|█████▍    | 23/42 [03:38<02:07,  6.69s/it]\nMultiDiffusion Sampling:  57%|█████▋    | 24/42 [03:44<01:54,  6.38s/it]\nTotal progress:  56%|█████▌    | 5/9 [02:15<01:59, 29.90s/it]\u001b[A\nMultiDiffusion Sampling:  60%|█████▉    | 25/42 [03:50<01:44,  6.16s/it]\n 67%|██████▋   | 6/9 [03:23<01:41, 33.95s/it]\u001b[A\nMultiDiffusion Sampling:  62%|██████▏   | 26/42 [04:01<02:03,  7.71s/it]\nMultiDiffusion Sampling:  64%|██████▍   | 27/42 [04:07<01:46,  7.09s/it]\nMultiDiffusion Sampling:  67%|██████▋   | 28/42 [04:12<01:33,  6.66s/it]\nMultiDiffusion Sampling:  69%|██████▉   | 29/42 [04:18<01:22,  6.36s/it]\nTotal progress:  67%|██████▋   | 6/9 [02:49<01:33, 31.25s/it]\u001b[A\nMultiDiffusion Sampling:  71%|███████▏  | 30/42 [04:23<01:13,  6.15s/it]\n 78%|███████▊  | 7/9 [03:57<01:07, 33.95s/it]\u001b[A\nMultiDiffusion Sampling:  74%|███████▍  | 31/42 [04:35<01:24,  7.70s/it]\nMultiDiffusion Sampling:  76%|███████▌  | 32/42 [04:40<01:10,  7.09s/it]\nMultiDiffusion Sampling:  79%|███████▊  | 33/42 [04:46<00:59,  6.66s/it]\nMultiDiffusion Sampling:  81%|████████  | 34/42 [04:52<00:50,  6.36s/it]\nTotal progress:  78%|███████▊  | 7/9 [03:23<01:04, 32.12s/it]\u001b[A\nMultiDiffusion Sampling:  83%|████████▎ | 35/42 [04:57<00:43,  6.15s/it]\n 89%|████████▉ | 8/9 [04:31<00:33, 33.96s/it]\u001b[A\nMultiDiffusion Sampling:  86%|████████▌ | 36/42 [05:09<00:46,  7.70s/it]\nMultiDiffusion Sampling:  88%|████████▊ | 37/42 [05:14<00:35,  7.09s/it]\nMultiDiffusion Sampling:  90%|█████████ | 38/42 [05:20<00:26,  6.66s/it]\nMultiDiffusion Sampling:  93%|█████████▎| 39/42 [05:26<00:19,  6.36s/it]\nTotal progress:  89%|████████▉ | 8/9 [03:57<00:32, 32.70s/it]\u001b[A\nMultiDiffusion Sampling:  95%|█████████▌| 40/42 [05:31<00:12,  6.15s/it]\n100%|██████████| 9/9 [05:05<00:00, 33.95s/it]\u001b[A\n100%|██████████| 9/9 [05:05<00:00, 33.95s/it]\nTotal progress: 100%|██████████| 9/9 [04:31<00:00, 33.09s/it]\u001b[A[Tiled VAE]: input_size: torch.Size([1, 4, 768, 768]), tile_size: 192, padding: 11\n[Tiled VAE]: split to 4x4 = 16 tiles. Optimal tile size 192x192, original tile size 192x192\n[Tiled VAE]: Fast mode enabled, estimating group norm parameters on 192 x 192 image\n[Tiled VAE]: Executing Decoder Task Queue:   0%|          | 0/1968 [00:00<?, ?it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:   6%|▋         | 124/1968 [00:00<00:10, 174.32it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  13%|█▎        | 247/1968 [00:01<00:09, 175.86it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  19%|█▉        | 370/1968 [00:02<00:09, 176.08it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  25%|██▌       | 493/1968 [00:02<00:07, 184.70it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  31%|███▏      | 616/1968 [00:03<00:07, 181.87it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  38%|███▊      | 739/1968 [00:04<00:06, 180.24it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  44%|████▍     | 862/1968 [00:04<00:06, 179.13it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  50%|█████     | 985/1968 [00:05<00:05, 185.32it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  56%|█████▋    | 1108/1968 [00:06<00:04, 182.64it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  63%|██████▎   | 1231/1968 [00:06<00:04, 180.90it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  69%|██████▉   | 1354/1968 [00:07<00:03, 179.63it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  75%|███████▌  | 1477/1968 [00:08<00:02, 185.16it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  81%|████████▏ | 1600/1968 [00:08<00:01, 189.34it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  88%|████████▊ | 1723/1968 [00:09<00:01, 192.42it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue:  94%|█████████▍| 1846/1968 [00:09<00:00, 194.62it/s]\u001b[A\u001b[A\n[Tiled VAE]: Executing Decoder Task Queue: 100%|██████████| 1968/1968 [00:10<00:00, 187.32it/s]\n[Tiled VAE]: Done in 11.719s, max VRAM alloc 12719.975 MB\nTotal progress: 100%|██████████| 9/9 [04:44<00:00, 33.09s/it]\u001b[A\nTotal progress: 100%|██████████| 9/9 [04:44<00:00, 31.63s/it]",
  "output": [
    "https://replicate.delivery/pbxt/y0fLloIYzrReTksPbIOtWJl58hHdv1o1fWWLeGeIzTuT71FUC/1337-17a85e88-e35d-11ee-bac3-b220ffff4344.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-03-16T06:12:21.263234Z",
  "started_at": "2024-03-16T06:12:30.882616Z",
  "completed_at": "2024-03-16T06:19:08.977348Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/h5y4fr3bdzblp6sk54kmk4fupu/cancel",
    "get": "https://api.replicate.com/v1/predictions/h5y4fr3bdzblp6sk54kmk4fupu"
  },
  "metrics": {
    "predict_time": 398.094732,
    "total_time": 407.714114
  }
}

Generated in

6 minutes 38 seconds

Tweak it Report

[Tiled Diffusion] upscaling image with 4x-UltraSharp... [Tiled Diffusion] ControlNet found, support is enabled. 2024-03-16 06:13:03,086 - ControlNet - [0;32mINFO[0m - unit_separate = False, style_align = False 2024-03-16 06:13:03,086 - ControlNet - [0;32mINFO[0m - Loading model from cache: control_v11f1e_sd15_tile 2024-03-16 06:13:03,183 - ControlNet - [0;32mINFO[0m - Using preprocessor: tile_resample 2024-03-16 06:13:03,183 - ControlNet - [0;32mINFO[0m - preprocessor resolution = 6144 2024-03-16 06:13:03,909 - ControlNet - [0;32mINFO[0m - ControlNet Hooked - Time = 0.8282740116119385 MultiDiffusion hooked into 'DPM++ 3M SDE Karras' sampler, Tile size: 144x112, Tile count: 48, Batch size: 8, Tile batches: 6 (ext: ContrlNet) MultiDiffusion Sampling: 0%| | 0/42 [00:00<?, ?it/s] MultiDiffusion Sampling: 0%| | 0/7 [01:10<?, ?it/s] [Tiled VAE]: input_size: torch.Size([1, 3, 6144, 6144]), tile_size: 3072, padding: 32 [Tiled VAE]: split to 2x2 = 4 tiles. Optimal tile size 3040x3040, original tile size 3072x3072 [Tiled VAE]: Fast mode enabled, estimating group norm parameters on 3072 x 3072 image [Tiled VAE]: Executing Encoder Task Queue: 0%| | 0/364 [00:00<?, ?it/s][A [Tiled VAE]: Executing Encoder Task Queue: 5%|▌ | 19/364 [00:00<00:16, 21.49it/s][A [Tiled VAE]: Executing Encoder Task Queue: 6%|▌ | 22/364 [00:01<00:17, 19.80it/s][A [Tiled VAE]: Executing Encoder Task Queue: 10%|█ | 38/364 [00:01<00:17, 18.97it/s][A [Tiled VAE]: Executing Encoder Task Queue: 11%|█ | 40/364 [00:02<00:18, 17.40it/s][A [Tiled VAE]: Executing Encoder Task Queue: 16%|█▌ | 57/364 [00:03<00:16, 18.47it/s][A [Tiled VAE]: Executing Encoder Task Queue: 16%|█▌ | 59/364 [00:03<00:17, 17.22it/s][A [Tiled VAE]: Executing Encoder Task Queue: 21%|██ | 76/364 [00:04<00:15, 18.30it/s][A [Tiled VAE]: Executing Encoder Task Queue: 22%|██▏ | 80/364 [00:04<00:18, 15.64it/s][A [Tiled VAE]: Executing Encoder Task Queue: 23%|██▎ | 83/364 [00:05<00:21, 12.88it/s][A [Tiled VAE]: Executing Encoder Task Queue: 24%|██▎ | 86/364 [00:05<00:25, 10.97it/s][A [Tiled VAE]: Executing Encoder Task Queue: 25%|██▌ | 92/364 [00:05<00:20, 13.15it/s][A [Tiled VAE]: Executing Encoder Task Queue: 26%|██▌ | 94/364 [00:06<00:33, 8.14it/s][A [Tiled VAE]: Executing Encoder Task Queue: 27%|██▋ | 97/364 [00:06<00:29, 9.16it/s][A [Tiled VAE]: Executing Encoder Task Queue: 27%|██▋ | 99/364 [00:07<00:45, 5.82it/s][A [Tiled VAE]: Executing Encoder Task Queue: 28%|██▊ | 102/364 [00:08<00:37, 7.06it/s][A [Tiled VAE]: Executing Encoder Task Queue: 29%|██▊ | 104/364 [00:08<00:53, 4.87it/s][A [Tiled VAE]: Executing Encoder Task Queue: 29%|██▉ | 107/364 [00:09<00:41, 6.20it/s][A [Tiled VAE]: Executing Encoder Task Queue: 30%|██▉ | 109/364 [00:09<00:44, 5.75it/s][A [Tiled VAE]: Executing Encoder Task Queue: 31%|███ | 112/364 [00:10<00:44, 5.70it/s][A [Tiled VAE]: Executing Encoder Task Queue: 32%|███▏ | 115/364 [00:10<00:46, 5.40it/s][A [Tiled VAE]: Executing Encoder Task Queue: 32%|███▏ | 118/364 [00:11<00:45, 5.36it/s][A [Tiled VAE]: Executing Encoder Task Queue: 33%|███▎ | 121/364 [00:11<00:34, 7.11it/s][A [Tiled VAE]: Executing Encoder Task Queue: 34%|███▍ | 124/364 [00:11<00:28, 8.54it/s][A [Tiled VAE]: Executing Encoder Task Queue: 35%|███▍ | 126/364 [00:11<00:27, 8.68it/s][A [Tiled VAE]: Executing Encoder Task Queue: 35%|███▌ | 128/364 [00:11<00:25, 9.09it/s][A [Tiled VAE]: Executing Encoder Task Queue: 36%|███▌ | 130/364 [00:12<00:24, 9.50it/s][A [Tiled VAE]: Executing Encoder Task Queue: 36%|███▋ | 132/364 [00:12<00:24, 9.40it/s][A [Tiled VAE]: Executing Encoder Task Queue: 37%|███▋ | 134/364 [00:12<00:25, 9.11it/s][A [Tiled VAE]: Executing Encoder Task Queue: 37%|███▋ | 136/364 [00:12<00:23, 9.59it/s][A [Tiled VAE]: Executing Encoder Task Queue: 38%|███▊ | 138/364 [00:13<00:23, 9.44it/s][A [Tiled VAE]: Executing Encoder Task Queue: 38%|███▊ | 139/364 [00:13<00:28, 7.94it/s][A [Tiled VAE]: Executing Encoder Task Queue: 39%|███▉ | 142/364 [00:13<00:21, 10.21it/s][A [Tiled VAE]: Executing Encoder Task Queue: 40%|███▉ | 144/364 [00:13<00:22, 9.86it/s][A [Tiled VAE]: Executing Encoder Task Queue: 41%|████ | 148/364 [00:13<00:18, 11.51it/s][A [Tiled VAE]: Executing Encoder Task Queue: 41%|████▏ | 151/364 [00:14<00:18, 11.49it/s][A [Tiled VAE]: Executing Encoder Task Queue: 42%|████▏ | 154/364 [00:14<00:18, 11.26it/s][A [Tiled VAE]: Executing Encoder Task Queue: 44%|████▍ | 160/364 [00:14<00:11, 17.12it/s][A [Tiled VAE]: Executing Encoder Task Queue: 45%|████▍ | 162/364 [00:15<00:18, 11.05it/s][A [Tiled VAE]: Executing Encoder Task Queue: 45%|████▌ | 165/364 [00:15<00:14, 13.33it/s][A [Tiled VAE]: Executing Encoder Task Queue: 46%|████▌ | 167/364 [00:15<00:22, 8.92it/s][A [Tiled VAE]: Executing Encoder Task Queue: 47%|████▋ | 170/364 [00:15<00:17, 11.29it/s][A [Tiled VAE]: Executing Encoder Task Queue: 47%|████▋ | 172/364 [00:16<00:26, 7.21it/s][A [Tiled VAE]: Executing Encoder Task Queue: 48%|████▊ | 175/364 [00:16<00:19, 9.56it/s][A [Tiled VAE]: Executing Encoder Task Queue: 49%|████▊ | 177/364 [00:16<00:21, 8.68it/s][A [Tiled VAE]: Executing Encoder Task Queue: 49%|████▉ | 180/364 [00:17<00:20, 9.11it/s][A [Tiled VAE]: Executing Encoder Task Queue: 50%|█████ | 183/364 [00:17<00:19, 9.08it/s][A [Tiled VAE]: Executing Encoder Task Queue: 51%|█████ | 186/364 [00:17<00:19, 9.10it/s][A [Tiled VAE]: Executing Encoder Task Queue: 53%|█████▎ | 192/364 [00:17<00:12, 13.79it/s][A [Tiled VAE]: Executing Encoder Task Queue: 54%|█████▎ | 195/364 [00:18<00:11, 14.83it/s][A [Tiled VAE]: Executing Encoder Task Queue: 54%|█████▍ | 198/364 [00:18<00:09, 16.90it/s][A [Tiled VAE]: Executing Encoder Task Queue: 55%|█████▌ | 201/364 [00:18<00:09, 16.51it/s][A [Tiled VAE]: Executing Encoder Task Queue: 56%|█████▌ | 204/364 [00:18<00:08, 18.44it/s][A [Tiled VAE]: Executing Encoder Task Queue: 57%|█████▋ | 207/364 [00:18<00:08, 17.53it/s][A [Tiled VAE]: Executing Encoder Task Queue: 58%|█████▊ | 210/364 [00:18<00:07, 19.37it/s][A [Tiled VAE]: Executing Encoder Task Queue: 59%|█████▉ | 215/364 [00:18<00:05, 25.73it/s][A [Tiled VAE]: Executing Encoder Task Queue: 60%|██████ | 219/364 [00:19<00:05, 25.95it/s][A [Tiled VAE]: Executing Encoder Task Queue: 62%|██████▏ | 225/364 [00:19<00:04, 33.52it/s][A [Tiled VAE]: Executing Encoder Task Queue: 63%|██████▎ | 230/364 [00:19<00:03, 33.65it/s][A [Tiled VAE]: Executing Encoder Task Queue: 65%|██████▍ | 235/364 [00:19<00:03, 33.51it/s][A [Tiled VAE]: Executing Encoder Task Queue: 66%|██████▌ | 240/364 [00:19<00:03, 33.21it/s][A [Tiled VAE]: Executing Encoder Task Queue: 68%|██████▊ | 248/364 [00:19<00:03, 38.59it/s][A [Tiled VAE]: Executing Encoder Task Queue: 70%|██████▉ | 254/364 [00:19<00:02, 38.08it/s][A [Tiled VAE]: Executing Encoder Task Queue: 72%|███████▏ | 261/364 [00:20<00:02, 44.99it/s][A [Tiled VAE]: Executing Encoder Task Queue: 73%|███████▎ | 266/364 [00:20<00:02, 41.62it/s][A [Tiled VAE]: Executing Encoder Task Queue: 74%|███████▍ | 271/364 [00:20<00:02, 38.65it/s][A [Tiled VAE]: Executing Encoder Task Queue: 76%|███████▌ | 276/364 [00:20<00:02, 36.74it/s][A [Tiled VAE]: Executing Encoder Task Queue: 78%|███████▊ | 283/364 [00:20<00:02, 38.76it/s][A [Tiled VAE]: Executing Encoder Task Queue: 79%|███████▉ | 289/364 [00:20<00:01, 43.32it/s][A [Tiled VAE]: Executing Encoder Task Queue: 81%|████████ | 294/364 [00:20<00:01, 40.61it/s][A [Tiled VAE]: Executing Encoder Task Queue: 82%|████████▏ | 299/364 [00:21<00:01, 38.02it/s][A [Tiled VAE]: Executing Encoder Task Queue: 84%|████████▎ | 304/364 [00:21<00:01, 36.06it/s][A [Tiled VAE]: Executing Encoder Task Queue: 85%|████████▌ | 310/364 [00:21<00:03, 17.19it/s][A [Tiled VAE]: Executing Encoder Task Queue: 86%|████████▌ | 313/364 [00:23<00:05, 8.59it/s][A [Tiled VAE]: Executing Encoder Task Queue: 87%|████████▋ | 316/364 [00:24<00:08, 5.87it/s][A [Tiled VAE]: Executing Encoder Task Queue: 88%|████████▊ | 319/364 [00:25<00:09, 4.57it/s][A [Tiled VAE]: Executing Encoder Task Queue: 88%|████████▊ | 321/364 [00:25<00:08, 5.26it/s][A [Tiled VAE]: Executing Encoder Task Queue: 89%|████████▊ | 323/364 [00:26<00:10, 3.85it/s][A [Tiled VAE]: Executing Encoder Task Queue: 90%|█████████ | 328/364 [00:26<00:05, 6.20it/s][A [Tiled VAE]: Executing Encoder Task Queue: 92%|█████████▏| 334/364 [00:26<00:03, 9.52it/s][A [Tiled VAE]: Executing Encoder Task Queue: 94%|█████████▎| 341/364 [00:26<00:01, 14.64it/s][A [Tiled VAE]: Executing Encoder Task Queue: 95%|█████████▍| 345/364 [00:26<00:01, 17.38it/s][A [Tiled VAE]: Executing Encoder Task Queue: 97%|█████████▋| 352/364 [00:27<00:00, 23.86it/s][A [Tiled VAE]: Executing Encoder Task Queue: 100%|██████████| 364/364 [00:27<00:00, 13.38it/s] [Tiled VAE]: Done in 28.383s, max VRAM alloc 26698.884 MB 0%| | 0/9 [00:00<?, ?it/s][A MultiDiffusion Sampling: 2%|▏ | 1/42 [00:32<21:54, 32.05s/it] MultiDiffusion Sampling: 5%|▍ | 2/42 [00:37<11:00, 16.52s/it] MultiDiffusion Sampling: 7%|▋ | 3/42 [00:43<07:30, 11.56s/it] MultiDiffusion Sampling: 10%|▉ | 4/42 [00:49<05:50, 9.23s/it] MultiDiffusion Sampling: 12%|█▏ | 5/42 [00:54<04:53, 7.94s/it] Total progress: 0%| | 0/9 [00:00<?, ?it/s][A 11%|█ | 1/9 [00:33<04:31, 33.92s/it][A 22%|██▏ | 2/9 [01:07<03:57, 33.93s/it][A MultiDiffusion Sampling: 14%|█▍ | 6/42 [01:45<13:31, 22.55s/it] MultiDiffusion Sampling: 17%|█▋ | 7/42 [01:51<09:55, 17.02s/it] MultiDiffusion Sampling: 19%|█▉ | 8/42 [01:56<07:35, 13.40s/it] MultiDiffusion Sampling: 21%|██▏ | 9/42 [02:02<06:02, 10.98s/it] Total progress: 22%|██▏ | 2/9 [00:33<01:58, 16.97s/it][A MultiDiffusion Sampling: 24%|██▍ | 10/42 [02:08<04:58, 9.34s/it] 33%|███▎ | 3/9 [01:41<03:23, 33.93s/it][A MultiDiffusion Sampling: 26%|██▌ | 11/42 [02:19<05:08, 9.94s/it] MultiDiffusion Sampling: 29%|██▊ | 12/42 [02:25<04:19, 8.64s/it] MultiDiffusion Sampling: 31%|███ | 13/42 [02:30<03:44, 7.74s/it] MultiDiffusion Sampling: 33%|███▎ | 14/42 [02:36<03:19, 7.11s/it] Total progress: 33%|███▎ | 3/9 [01:07<02:24, 24.04s/it][A MultiDiffusion Sampling: 36%|███▌ | 15/42 [02:42<03:00, 6.67s/it] 44%|████▍ | 4/9 [02:15<02:49, 33.94s/it][A MultiDiffusion Sampling: 38%|███▊ | 16/42 [02:53<03:29, 8.07s/it] MultiDiffusion Sampling: 40%|████ | 17/42 [02:59<03:03, 7.35s/it] MultiDiffusion Sampling: 43%|████▎ | 18/42 [03:04<02:44, 6.84s/it] MultiDiffusion Sampling: 45%|████▌ | 19/42 [03:10<02:29, 6.48s/it] Total progress: 44%|████▍ | 4/9 [01:41<02:18, 27.74s/it][A MultiDiffusion Sampling: 48%|████▊ | 20/42 [03:16<02:17, 6.24s/it] 56%|█████▌ | 5/9 [02:49<02:15, 33.95s/it][A MultiDiffusion Sampling: 50%|█████ | 21/42 [03:27<02:43, 7.76s/it] MultiDiffusion Sampling: 52%|█████▏ | 22/42 [03:33<02:22, 7.13s/it] MultiDiffusion Sampling: 55%|█████▍ | 23/42 [03:38<02:07, 6.69s/it] MultiDiffusion Sampling: 57%|█████▋ | 24/42 [03:44<01:54, 6.38s/it] Total progress: 56%|█████▌ | 5/9 [02:15<01:59, 29.90s/it][A MultiDiffusion Sampling: 60%|█████▉ | 25/42 [03:50<01:44, 6.16s/it] 67%|██████▋ | 6/9 [03:23<01:41, 33.95s/it][A MultiDiffusion Sampling: 62%|██████▏ | 26/42 [04:01<02:03, 7.71s/it] MultiDiffusion Sampling: 64%|██████▍ | 27/42 [04:07<01:46, 7.09s/it] MultiDiffusion Sampling: 67%|██████▋ | 28/42 [04:12<01:33, 6.66s/it] MultiDiffusion Sampling: 69%|██████▉ | 29/42 [04:18<01:22, 6.36s/it] Total progress: 67%|██████▋ | 6/9 [02:49<01:33, 31.25s/it][A MultiDiffusion Sampling: 71%|███████▏ | 30/42 [04:23<01:13, 6.15s/it] 78%|███████▊ | 7/9 [03:57<01:07, 33.95s/it][A MultiDiffusion Sampling: 74%|███████▍ | 31/42 [04:35<01:24, 7.70s/it] MultiDiffusion Sampling: 76%|███████▌ | 32/42 [04:40<01:10, 7.09s/it] MultiDiffusion Sampling: 79%|███████▊ | 33/42 [04:46<00:59, 6.66s/it] MultiDiffusion Sampling: 81%|████████ | 34/42 [04:52<00:50, 6.36s/it] Total progress: 78%|███████▊ | 7/9 [03:23<01:04, 32.12s/it][A MultiDiffusion Sampling: 83%|████████▎ | 35/42 [04:57<00:43, 6.15s/it] 89%|████████▉ | 8/9 [04:31<00:33, 33.96s/it][A MultiDiffusion Sampling: 86%|████████▌ | 36/42 [05:09<00:46, 7.70s/it] MultiDiffusion Sampling: 88%|████████▊ | 37/42 [05:14<00:35, 7.09s/it] MultiDiffusion Sampling: 90%|█████████ | 38/42 [05:20<00:26, 6.66s/it] MultiDiffusion Sampling: 93%|█████████▎| 39/42 [05:26<00:19, 6.36s/it] Total progress: 89%|████████▉ | 8/9 [03:57<00:32, 32.70s/it][A MultiDiffusion Sampling: 95%|█████████▌| 40/42 [05:31<00:12, 6.15s/it] 100%|██████████| 9/9 [05:05<00:00, 33.95s/it][A 100%|██████████| 9/9 [05:05<00:00, 33.95s/it] Total progress: 100%|██████████| 9/9 [04:31<00:00, 33.09s/it][A[Tiled VAE]: input_size: torch.Size([1, 4, 768, 768]), tile_size: 192, padding: 11 [Tiled VAE]: split to 4x4 = 16 tiles. Optimal tile size 192x192, original tile size 192x192 [Tiled VAE]: Fast mode enabled, estimating group norm parameters on 192 x 192 image [Tiled VAE]: Executing Decoder Task Queue: 0%| | 0/1968 [00:00<?, ?it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 6%|▋ | 124/1968 [00:00<00:10, 174.32it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 13%|█▎ | 247/1968 [00:01<00:09, 175.86it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 19%|█▉ | 370/1968 [00:02<00:09, 176.08it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 25%|██▌ | 493/1968 [00:02<00:07, 184.70it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 31%|███▏ | 616/1968 [00:03<00:07, 181.87it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 38%|███▊ | 739/1968 [00:04<00:06, 180.24it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 44%|████▍ | 862/1968 [00:04<00:06, 179.13it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 50%|█████ | 985/1968 [00:05<00:05, 185.32it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 56%|█████▋ | 1108/1968 [00:06<00:04, 182.64it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 63%|██████▎ | 1231/1968 [00:06<00:04, 180.90it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 69%|██████▉ | 1354/1968 [00:07<00:03, 179.63it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 75%|███████▌ | 1477/1968 [00:08<00:02, 185.16it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 81%|████████▏ | 1600/1968 [00:08<00:01, 189.34it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 88%|████████▊ | 1723/1968 [00:09<00:01, 192.42it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 94%|█████████▍| 1846/1968 [00:09<00:00, 194.62it/s][A[A [Tiled VAE]: Executing Decoder Task Queue: 100%|██████████| 1968/1968 [00:10<00:00, 187.32it/s] [Tiled VAE]: Done in 11.719s, max VRAM alloc 12719.975 MB Total progress: 100%|██████████| 9/9 [04:44<00:00, 33.09s/it][A Total progress: 100%|██████████| 9/9 [04:44<00:00, 31.63s/it]