Prediction

Official model

stability-ai/stable-diffusion-3

w78yp9094srh60cg4919e57gbc

Status

Succeeded

Source

Web

Total duration

7.5s

Created

over 1 year ago by janghaludu

Webhook

–

Input

negative_prompt: penis, ugly, distorted
aspect_ratio: 2:3
cfg: 4.49
output_format: webp
output_quality: 100

{
  "aspect_ratio": "2:3",
  "cfg": 4.49,
  "negative_prompt": "penis, ugly, distorted",
  "output_format": "webp",
  "output_quality": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_DqC**********************************

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 stability-ai/stable-diffusion-3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "2:3",
  cfg: 4.49,
  negative_prompt: "penis, ugly, distorted",
  output_format: "webp",
  output_quality: 100
};

const output = await replicate.run("stability-ai/stable-diffusion-3", { input });

// 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_DqC**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run stability-ai/stable-diffusion-3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stability-ai/stable-diffusion-3",
    input={
        "aspect_ratio": "2:3",
        "cfg": 4.49,
        "negative_prompt": "penis, ugly, distorted",
        "output_format": "webp",
        "output_quality": 100
    }
)

# 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_DqC**********************************

This is your API token. Keep it to yourself.

Run stability-ai/stable-diffusion-3 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 $'{
    "input": {
      "aspect_ratio": "2:3",
      "cfg": 4.49,
      "negative_prompt": "penis, ugly, distorted",
      "output_format": "webp",
      "output_quality": 100
    }
  }' \
  https://api.replicate.com/v1/models/stability-ai/stable-diffusion-3/predictions

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

Output

{
  "id": "w78yp9094srh60cg4919e57gbc",
  "model": "stability-ai/stable-diffusion-3",
  "version": "hidden",
  "input": {
    "aspect_ratio": "2:3",
    "cfg": 4.49,
    "negative_prompt": "penis, ugly, distorted",
    "output_format": "webp",
    "output_quality": 100
  },
  "logs": "Random seed set to: 2645141029\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 71, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode\nExecuting node 67, title: ConditioningZeroOut, class type: ConditioningZeroOut\nExecuting node 68, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange\nExecuting node 70, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange\nExecuting node 69, title: Conditioning (Combine), class type: ConditioningCombine\nExecuting node 135, title: EmptySD3LatentImage, class type: EmptySD3LatentImage\nExecuting node 271, title: KSampler, class type: KSampler\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:03,  8.65it/s]\n  7%|▋         | 2/28 [00:00<00:03,  7.47it/s]\n 14%|█▍        | 4/28 [00:00<00:02,  9.37it/s]\n 21%|██▏       | 6/28 [00:00<00:02, 10.05it/s]\n 29%|██▊       | 8/28 [00:00<00:01, 10.42it/s]\n 36%|███▌      | 10/28 [00:00<00:01, 10.61it/s]\n 43%|████▎     | 12/28 [00:01<00:01, 10.74it/s]\n 50%|█████     | 14/28 [00:01<00:01, 10.81it/s]\n 57%|█████▋    | 16/28 [00:01<00:01, 10.83it/s]\n 64%|██████▍   | 18/28 [00:01<00:00, 10.86it/s]\n 71%|███████▏  | 20/28 [00:01<00:00, 10.89it/s]\n 79%|███████▊  | 22/28 [00:02<00:00, 10.92it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.92it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.94it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.94it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.63it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 6.72 seconds\noutputs:  {'273': {'images': [{'filename': 'R8_SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nR8_SD3_00001_.png",
  "output": [
    "https://replicate.delivery/pbxt/WDBOq3jcfehuU0ZoJBwUNVk0bTyoq9ni0bnhxdeZqRIcsbeLB/R8_SD3_00001_.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-06-16T18:14:31.462Z",
  "started_at": "2024-06-16T18:14:31.468184Z",
  "completed_at": "2024-06-16T18:14:38.924611Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/w78yp9094srh60cg4919e57gbc/cancel",
    "get": "https://api.replicate.com/v1/predictions/w78yp9094srh60cg4919e57gbc",
    "web": "https://replicate.com/p/w78yp9094srh60cg4919e57gbc"
  },
  "metrics": {
    "predict_time": 7.45642768,
    "total_time": 7.462611
  }
}

Generated in

7.5 seconds

Tweak it Iterate in playground Report

Random seed set to: 2645141029 Running workflow got prompt Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 71, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode Executing node 67, title: ConditioningZeroOut, class type: ConditioningZeroOut Executing node 68, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange Executing node 70, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange Executing node 69, title: Conditioning (Combine), class type: ConditioningCombine Executing node 135, title: EmptySD3LatentImage, class type: EmptySD3LatentImage Executing node 271, title: KSampler, class type: KSampler 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:03, 8.65it/s] 7%|▋ | 2/28 [00:00<00:03, 7.47it/s] 14%|█▍ | 4/28 [00:00<00:02, 9.37it/s] 21%|██▏ | 6/28 [00:00<00:02, 10.05it/s] 29%|██▊ | 8/28 [00:00<00:01, 10.42it/s] 36%|███▌ | 10/28 [00:00<00:01, 10.61it/s] 43%|████▎ | 12/28 [00:01<00:01, 10.74it/s] 50%|█████ | 14/28 [00:01<00:01, 10.81it/s] 57%|█████▋ | 16/28 [00:01<00:01, 10.83it/s] 64%|██████▍ | 18/28 [00:01<00:00, 10.86it/s] 71%|███████▏ | 20/28 [00:01<00:00, 10.89it/s] 79%|███████▊ | 22/28 [00:02<00:00, 10.92it/s] 86%|████████▌ | 24/28 [00:02<00:00, 10.92it/s] 93%|█████████▎| 26/28 [00:02<00:00, 10.94it/s] 100%|██████████| 28/28 [00:02<00:00, 10.94it/s] 100%|██████████| 28/28 [00:02<00:00, 10.63it/s] Executing node 231, title: VAE Decode, class type: VAEDecode Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 6.72 seconds outputs: {'273': {'images': [{'filename': 'R8_SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== R8_SD3_00001_.png