Prediction

dingman081130/jdmodel:1181165528dcf750f99accf86f320ec9d726957c2f84655876b3f41bf98661a8

Model

dingman081130/jdmodel:11811655

3os2v7z63zdrpp2gcaxlfzjo3a

Status

Failed

Source

Web

Hardware

–

Total duration

2m 27s

Created

over 2 years ago by @dingman081130

Input

width: 512
height: 512
prompt: a photo of a cjw person
scheduler: DDIM
num_outputs: 1
guidance_scale: 7.5
prompt_strength: 0.8
num_inference_steps: 50

{
  "width": 512,
  "height": 512,
  "prompt": "a photo of a cjw person",
  "scheduler": "DDIM",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Install Replicate’s Node.js client library:

npm install replicate

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 dingman081130/jdmodel using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "dingman081130/jdmodel:1181165528dcf750f99accf86f320ec9d726957c2f84655876b3f41bf98661a8",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "a photo of a cjw person",
      scheduler: "DDIM",
      num_outputs: 1,
      guidance_scale: 7.5,
      prompt_strength: 0.8,
      num_inference_steps: 50
    }
  }
);

// 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

Import the client:

import replicate

Run dingman081130/jdmodel using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "dingman081130/jdmodel:1181165528dcf750f99accf86f320ec9d726957c2f84655876b3f41bf98661a8",
    input={
        "width": 512,
        "height": 512,
        "prompt": "a photo of a cjw person",
        "scheduler": "DDIM",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "prompt_strength": 0.8,
        "num_inference_steps": 50
    }
)

# 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.

Run dingman081130/jdmodel 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": "dingman081130/jdmodel:1181165528dcf750f99accf86f320ec9d726957c2f84655876b3f41bf98661a8",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "a photo of a cjw person",
      "scheduler": "DDIM",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "prompt_strength": 0.8,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Prediction failed.

NSFW content detected. Try running it again, or try a different prompt.

{
  "completed_at": "2023-03-06T12:51:55.694179Z",
  "created_at": "2023-03-06T12:49:28.338314Z",
  "data_removed": false,
  "error": "NSFW content detected. Try running it again, or try a different prompt.",
  "id": "3os2v7z63zdrpp2gcaxlfzjo3a",
  "input": {
    "width": 512,
    "height": 512,
    "prompt": "a photo of a cjw person",
    "scheduler": "DDIM",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 41374\nusing txt2img\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:08,  5.64it/s]\n  4%|▍         | 2/50 [00:00<00:08,  5.56it/s]\n  6%|▌         | 3/50 [00:00<00:08,  5.54it/s]\n  8%|▊         | 4/50 [00:00<00:08,  5.53it/s]\n 10%|█         | 5/50 [00:00<00:08,  5.44it/s]\n 12%|█▏        | 6/50 [00:01<00:08,  5.40it/s]\n 14%|█▍        | 7/50 [00:01<00:07,  5.38it/s]\n 16%|█▌        | 8/50 [00:01<00:07,  5.42it/s]\n 18%|█▊        | 9/50 [00:01<00:07,  5.43it/s]\n 20%|██        | 10/50 [00:01<00:07,  5.43it/s]\n 22%|██▏       | 11/50 [00:02<00:07,  5.43it/s]\n 24%|██▍       | 12/50 [00:02<00:06,  5.45it/s]\n 26%|██▌       | 13/50 [00:02<00:06,  5.45it/s]\n 28%|██▊       | 14/50 [00:02<00:06,  5.47it/s]\n 30%|███       | 15/50 [00:02<00:06,  5.47it/s]\n 32%|███▏      | 16/50 [00:02<00:06,  5.47it/s]\n 34%|███▍      | 17/50 [00:03<00:06,  5.46it/s]\n 36%|███▌      | 18/50 [00:03<00:05,  5.46it/s]\n 38%|███▊      | 19/50 [00:03<00:05,  5.43it/s]\n 40%|████      | 20/50 [00:03<00:05,  5.39it/s]\n 42%|████▏     | 21/50 [00:03<00:05,  5.41it/s]\n 44%|████▍     | 22/50 [00:04<00:05,  5.42it/s]\n 46%|████▌     | 23/50 [00:04<00:04,  5.43it/s]\n 48%|████▊     | 24/50 [00:04<00:04,  5.44it/s]\n 50%|█████     | 25/50 [00:04<00:04,  5.45it/s]\n 52%|█████▏    | 26/50 [00:04<00:04,  5.44it/s]\n 54%|█████▍    | 27/50 [00:04<00:04,  5.44it/s]\n 56%|█████▌    | 28/50 [00:05<00:04,  5.41it/s]\n 58%|█████▊    | 29/50 [00:05<00:03,  5.37it/s]\n 60%|██████    | 30/50 [00:05<00:03,  5.38it/s]\n 62%|██████▏   | 31/50 [00:05<00:03,  5.41it/s]\n 64%|██████▍   | 32/50 [00:05<00:03,  5.41it/s]\n 66%|██████▌   | 33/50 [00:06<00:03,  5.43it/s]\n 68%|██████▊   | 34/50 [00:06<00:02,  5.42it/s]\n 70%|███████   | 35/50 [00:06<00:02,  5.36it/s]\n 72%|███████▏  | 36/50 [00:06<00:02,  5.37it/s]\n 74%|███████▍  | 37/50 [00:06<00:02,  5.38it/s]\n 76%|███████▌  | 38/50 [00:07<00:02,  5.39it/s]\n 78%|███████▊  | 39/50 [00:07<00:02,  5.42it/s]\n 80%|████████  | 40/50 [00:07<00:01,  5.43it/s]\n 82%|████████▏ | 41/50 [00:07<00:01,  5.41it/s]\n 84%|████████▍ | 42/50 [00:07<00:01,  5.38it/s]\n 86%|████████▌ | 43/50 [00:07<00:01,  5.35it/s]\n 88%|████████▊ | 44/50 [00:08<00:01,  5.37it/s]\n 90%|█████████ | 45/50 [00:08<00:00,  5.38it/s]\n 92%|█████████▏| 46/50 [00:08<00:00,  5.37it/s]\n 94%|█████████▍| 47/50 [00:08<00:00,  5.34it/s]\n 96%|█████████▌| 48/50 [00:08<00:00,  5.34it/s]\n 98%|█████████▊| 49/50 [00:09<00:00,  5.35it/s]\n100%|██████████| 50/50 [00:09<00:00,  5.35it/s]\n100%|██████████| 50/50 [00:09<00:00,  5.41it/s]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nTraceback (most recent call last):\nFile \"/root/.pyenv/versions/3.10.9/lib/python3.10/site-packages/cog/server/worker.py\", line 214, in _predict\nresult = self._predictor.predict(**payload)\nFile \"/root/.pyenv/versions/3.10.9/lib/python3.10/site-packages/torch/autograd/grad_mode.py\", line 27, in decorate_context\nreturn func(*args, **kwargs)\nFile \"/src/predict.py\", line 195, in predict\nraise Exception(\nException: NSFW content detected. Try running it again, or try a different prompt.",
  "metrics": {
    "predict_time": 9.56165,
    "total_time": 147.355865
  },
  "output": null,
  "started_at": "2023-03-06T12:51:46.132529Z",
  "status": "failed",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3os2v7z63zdrpp2gcaxlfzjo3a",
    "cancel": "https://api.replicate.com/v1/predictions/3os2v7z63zdrpp2gcaxlfzjo3a/cancel"
  },
  "version": "1181165528dcf750f99accf86f320ec9d726957c2f84655876b3f41bf98661a8"
}

Generated in

9.6 seconds

Tweak it Share Report

Using seed: 41374
using txt2img
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Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
Traceback (most recent call last):
File "/root/.pyenv/versions/3.10.9/lib/python3.10/site-packages/cog/server/worker.py", line 214, in _predict
result = self._predictor.predict(**payload)
File "/root/.pyenv/versions/3.10.9/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/src/predict.py", line 195, in predict
raise Exception(
Exception: NSFW content detected. Try running it again, or try a different prompt.

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