Prediction

Model

jyoung105/stable-cascade:8421cef7

trgp1xx19srgm0cjvs7tsqmg70

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m 20s

Created

about 1 year ago

Webhook

–

Input

prompt: A man with hoodie on, illustration
width: 1024
height: 1024
num_images: 1
steps_prior: 20
steps_decoder: 10
guidance_scale_prior: 4
guidance_scale_decoder: 0

{
  "guidance_scale_decoder": 0,
  "guidance_scale_prior": 4,
  "height": 1024,
  "num_images": 1,
  "prompt": "A man with hoodie on, illustration",
  "steps_decoder": 10,
  "steps_prior": 20,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_D4C**********************************

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 jyoung105/stable-cascade using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jyoung105/stable-cascade:8421cef7df50baf406ca9467682cce6209d3c829bd81e3c197c21d6d67c47fbd",
  {
    input: {
      guidance_scale_decoder: 0,
      guidance_scale_prior: 4,
      height: 1024,
      num_images: 1,
      prompt: "A man with hoodie on, illustration",
      steps_decoder: 10,
      steps_prior: 20,
      width: 1024
    }
  }
);

// 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_D4C**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run jyoung105/stable-cascade using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jyoung105/stable-cascade:8421cef7df50baf406ca9467682cce6209d3c829bd81e3c197c21d6d67c47fbd",
    input={
        "guidance_scale_decoder": 0,
        "guidance_scale_prior": 4,
        "height": 1024,
        "num_images": 1,
        "prompt": "A man with hoodie on, illustration",
        "steps_decoder": 10,
        "steps_prior": 20,
        "width": 1024
    }
)

# 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_D4C**********************************

This is your API token. Keep it to yourself.

Run jyoung105/stable-cascade 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": "jyoung105/stable-cascade:8421cef7df50baf406ca9467682cce6209d3c829bd81e3c197c21d6d67c47fbd",
    "input": {
      "guidance_scale_decoder": 0,
      "guidance_scale_prior": 4,
      "height": 1024,
      "num_images": 1,
      "prompt": "A man with hoodie on, illustration",
      "steps_decoder": 10,
      "steps_prior": 20,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "trgp1xx19srgm0cjvs7tsqmg70",
  "model": "jyoung105/stable-cascade",
  "version": "8421cef7df50baf406ca9467682cce6209d3c829bd81e3c197c21d6d67c47fbd",
  "input": {
    "guidance_scale_decoder": 0,
    "guidance_scale_prior": 4,
    "height": 1024,
    "num_images": 1,
    "prompt": "A man with hoodie on, illustration",
    "steps_decoder": 10,
    "steps_prior": 20,
    "width": 1024
  },
  "logs": "DEVICE: cuda\nDTYPE: torch.float16\nUsing seed: 50236\nFinish setup in 0.00011014938354492188 secs.\n[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:01<00:29,  1.54s/it]\n 10%|█         | 2/20 [00:01<00:12,  1.40it/s]\n 15%|█▌        | 3/20 [00:01<00:07,  2.21it/s]\n 20%|██        | 4/20 [00:01<00:05,  3.04it/s]\n 25%|██▌       | 5/20 [00:02<00:03,  3.83it/s]\n 30%|███       | 6/20 [00:02<00:03,  4.54it/s]\n 35%|███▌      | 7/20 [00:02<00:02,  5.14it/s]\n 40%|████      | 8/20 [00:02<00:02,  5.63it/s]\n 45%|████▌     | 9/20 [00:02<00:01,  6.03it/s]\n 50%|█████     | 10/20 [00:02<00:01,  6.33it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  6.54it/s]\n 60%|██████    | 12/20 [00:03<00:01,  6.70it/s]\n 65%|██████▌   | 13/20 [00:03<00:01,  6.78it/s]\n 70%|███████   | 14/20 [00:03<00:00,  6.89it/s]\n 75%|███████▌  | 15/20 [00:03<00:00,  6.94it/s]\n 80%|████████  | 16/20 [00:03<00:00,  6.97it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  7.00it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  7.03it/s]\n 95%|█████████▌| 19/20 [00:04<00:00,  7.06it/s]\n100%|██████████| 20/20 [00:04<00:00,  7.07it/s]\n100%|██████████| 20/20 [00:04<00:00,  4.75it/s]\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:01<00:17,  1.93s/it]\n 20%|██        | 2/10 [00:02<00:07,  1.12it/s]\n 30%|███       | 3/10 [00:02<00:03,  1.79it/s]\n 40%|████      | 4/10 [00:02<00:02,  2.48it/s]\n 50%|█████     | 5/10 [00:02<00:01,  3.17it/s]\n 60%|██████    | 6/10 [00:02<00:01,  3.80it/s]\n 70%|███████   | 7/10 [00:02<00:00,  4.34it/s]\n 80%|████████  | 8/10 [00:03<00:00,  4.80it/s]\n 90%|█████████ | 9/10 [00:03<00:00,  5.16it/s]\n100%|██████████| 10/10 [00:03<00:00,  5.43it/s]\n100%|██████████| 10/10 [00:03<00:00,  2.95it/s]\nFinish generation in 12.288098096847534 secs.",
  "output": [
    "https://replicate.delivery/pbxt/DaRCXH5n0q6cONKxRffWbRVA66P70kdti4CPcbWl1y0flCYnA/out_0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-10-30T16:43:33.582Z",
  "started_at": "2024-10-30T16:45:39.145624Z",
  "completed_at": "2024-10-30T16:45:53.1651Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/trgp1xx19srgm0cjvs7tsqmg70/cancel",
    "get": "https://api.replicate.com/v1/predictions/trgp1xx19srgm0cjvs7tsqmg70",
    "web": "https://replicate.com/p/trgp1xx19srgm0cjvs7tsqmg70"
  },
  "metrics": {
    "predict_time": 14.019475308,
    "total_time": 139.5831
  }
}

Generated in

14.0 seconds

Tweak it Report

DEVICE: cuda DTYPE: torch.float16 Using seed: 50236 Finish setup in 0.00011014938354492188 secs. [Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:29, 1.54s/it] 10%|█ | 2/20 [00:01<00:12, 1.40it/s] 15%|█▌ | 3/20 [00:01<00:07, 2.21it/s] 20%|██ | 4/20 [00:01<00:05, 3.04it/s] 25%|██▌ | 5/20 [00:02<00:03, 3.83it/s] 30%|███ | 6/20 [00:02<00:03, 4.54it/s] 35%|███▌ | 7/20 [00:02<00:02, 5.14it/s] 40%|████ | 8/20 [00:02<00:02, 5.63it/s] 45%|████▌ | 9/20 [00:02<00:01, 6.03it/s] 50%|█████ | 10/20 [00:02<00:01, 6.33it/s] 55%|█████▌ | 11/20 [00:02<00:01, 6.54it/s] 60%|██████ | 12/20 [00:03<00:01, 6.70it/s] 65%|██████▌ | 13/20 [00:03<00:01, 6.78it/s] 70%|███████ | 14/20 [00:03<00:00, 6.89it/s] 75%|███████▌ | 15/20 [00:03<00:00, 6.94it/s] 80%|████████ | 16/20 [00:03<00:00, 6.97it/s] 85%|████████▌ | 17/20 [00:03<00:00, 7.00it/s] 90%|█████████ | 18/20 [00:03<00:00, 7.03it/s] 95%|█████████▌| 19/20 [00:04<00:00, 7.06it/s] 100%|██████████| 20/20 [00:04<00:00, 7.07it/s] 100%|██████████| 20/20 [00:04<00:00, 4.75it/s] 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:17, 1.93s/it] 20%|██ | 2/10 [00:02<00:07, 1.12it/s] 30%|███ | 3/10 [00:02<00:03, 1.79it/s] 40%|████ | 4/10 [00:02<00:02, 2.48it/s] 50%|█████ | 5/10 [00:02<00:01, 3.17it/s] 60%|██████ | 6/10 [00:02<00:01, 3.80it/s] 70%|███████ | 7/10 [00:02<00:00, 4.34it/s] 80%|████████ | 8/10 [00:03<00:00, 4.80it/s] 90%|█████████ | 9/10 [00:03<00:00, 5.16it/s] 100%|██████████| 10/10 [00:03<00:00, 5.43it/s] 100%|██████████| 10/10 [00:03<00:00, 2.95it/s] Finish generation in 12.288098096847534 secs.