Prediction

Official model

stability-ai/stable-diffusion-3.5-large

e1gp2tmm71rm40cjvdtvgjfaj4

Status

Succeeded

Source

Web

Total duration

8.9s

Created

over 1 year ago by lucataco

Webhook

–

Input

prompt: a claymation dinosaur with a giant taco in its mouth, set against a bright and colorful background. Holding a sign that says 'Eat Moar Tacos'
aspect_ratio: 1:1
cfg: 4.5
prompt_strength: 0.85
steps: 40
output_format: webp
output_quality: 90

{
  "aspect_ratio": "1:1",
  "cfg": 4.5,
  "output_format": "webp",
  "output_quality": 90,
  "prompt": "a claymation dinosaur with a giant taco in its mouth, set against a bright and colorful background. Holding a sign that says 'Eat Moar Tacos'",
  "prompt_strength": 0.85,
  "steps": 40
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_fTF**********************************

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-3.5-large using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "1:1",
  cfg: 4.5,
  output_format: "webp",
  output_quality: 90,
  prompt: "a claymation dinosaur with a giant taco in its mouth, set against a bright and colorful background. Holding a sign that says 'Eat Moar Tacos'",
  prompt_strength: 0.85,
  steps: 40
};

const output = await replicate.run("stability-ai/stable-diffusion-3.5-large", { 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_fTF**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run stability-ai/stable-diffusion-3.5-large using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stability-ai/stable-diffusion-3.5-large",
    input={
        "aspect_ratio": "1:1",
        "cfg": 4.5,
        "output_format": "webp",
        "output_quality": 90,
        "prompt": "a claymation dinosaur with a giant taco in its mouth, set against a bright and colorful background. Holding a sign that says 'Eat Moar Tacos'",
        "prompt_strength": 0.85,
        "steps": 40
    }
)

# 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_fTF**********************************

This is your API token. Keep it to yourself.

Run stability-ai/stable-diffusion-3.5-large 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": "1:1",
      "cfg": 4.5,
      "output_format": "webp",
      "output_quality": 90,
      "prompt": "a claymation dinosaur with a giant taco in its mouth, set against a bright and colorful background. Holding a sign that says \'Eat Moar Tacos\'",
      "prompt_strength": 0.85,
      "steps": 40
    }
  }' \
  https://api.replicate.com/v1/models/stability-ai/stable-diffusion-3.5-large/predictions

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

Output

{
  "id": "e1gp2tmm71rm40cjvdtvgjfaj4",
  "model": "stability-ai/stable-diffusion-3.5-large",
  "version": "hidden",
  "input": {
    "aspect_ratio": "1:1",
    "cfg": 4.5,
    "output_format": "webp",
    "output_quality": 90,
    "prompt": "a claymation dinosaur with a giant taco in its mouth, set against a bright and colorful background. Holding a sign that says 'Eat Moar Tacos'",
    "prompt_strength": 0.85,
    "steps": 40
  },
  "logs": "Seed set to: 2032196349\nRunning workflow\ngot prompt\nExecuting node 294, title: KSampler, class type: KSampler\n0%|          | 0/40 [00:00<?, ?it/s]\n2%|▎         | 1/40 [00:00<00:05,  7.43it/s]\n5%|▌         | 2/40 [00:00<00:08,  4.58it/s]\n8%|▊         | 3/40 [00:00<00:07,  4.68it/s]\n10%|█         | 4/40 [00:00<00:07,  4.75it/s]\n12%|█▎        | 5/40 [00:01<00:07,  4.78it/s]\n15%|█▌        | 6/40 [00:01<00:07,  4.81it/s]\n18%|█▊        | 7/40 [00:01<00:06,  4.83it/s]\n20%|██        | 8/40 [00:01<00:06,  4.84it/s]\n22%|██▎       | 9/40 [00:01<00:06,  4.84it/s]\n25%|██▌       | 10/40 [00:02<00:06,  4.85it/s]\n28%|██▊       | 11/40 [00:02<00:05,  4.86it/s]\n30%|███       | 12/40 [00:02<00:05,  4.86it/s]\n32%|███▎      | 13/40 [00:02<00:05,  4.85it/s]\n35%|███▌      | 14/40 [00:02<00:05,  4.85it/s]\n38%|███▊      | 15/40 [00:03<00:05,  4.85it/s]\n40%|████      | 16/40 [00:03<00:04,  4.84it/s]\n42%|████▎     | 17/40 [00:03<00:04,  4.85it/s]\n45%|████▌     | 18/40 [00:03<00:04,  4.85it/s]\n48%|████▊     | 19/40 [00:03<00:04,  4.86it/s]\n50%|█████     | 20/40 [00:04<00:04,  4.86it/s]\n52%|█████▎    | 21/40 [00:04<00:03,  4.86it/s]\n55%|█████▌    | 22/40 [00:04<00:03,  4.86it/s]\n57%|█████▊    | 23/40 [00:04<00:03,  4.87it/s]\n60%|██████    | 24/40 [00:04<00:03,  4.87it/s]\n62%|██████▎   | 25/40 [00:05<00:03,  4.87it/s]\n65%|██████▌   | 26/40 [00:05<00:02,  4.87it/s]\n68%|██████▊   | 27/40 [00:05<00:02,  4.87it/s]\n70%|███████   | 28/40 [00:05<00:02,  4.87it/s]\n72%|███████▎  | 29/40 [00:05<00:02,  4.87it/s]\n75%|███████▌  | 30/40 [00:06<00:02,  4.87it/s]\n78%|███████▊  | 31/40 [00:06<00:01,  4.87it/s]\n80%|████████  | 32/40 [00:06<00:01,  4.87it/s]\n82%|████████▎ | 33/40 [00:06<00:01,  4.87it/s]\n85%|████████▌ | 34/40 [00:06<00:01,  4.87it/s]\n88%|████████▊ | 35/40 [00:07<00:01,  4.87it/s]\n90%|█████████ | 36/40 [00:07<00:00,  4.87it/s]\n92%|█████████▎| 37/40 [00:07<00:00,  4.87it/s]\n95%|█████████▌| 38/40 [00:07<00:00,  4.87it/s]\n98%|█████████▊| 39/40 [00:08<00:00,  4.88it/s]\n100%|██████████| 40/40 [00:08<00:00,  4.88it/s]\n100%|██████████| 40/40 [00:08<00:00,  4.86it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 309, title: Save Image, class type: SaveImage\nPrompt executed in 8.53 seconds\noutputs:  {'309': {'images': [{'filename': 'R8_sd3.5L_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nR8_sd3.5L_00001_.png",
  "output": [
    "https://replicate.delivery/yhqm/Ybc2g49y4GJnOFGffi8aRhiBI5tztOFTlTjj4RWJSv8Zl1rTA/R8_sd3.5L_00001_.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-10-30T03:26:08.952Z",
  "started_at": "2024-10-30T03:26:08.956068Z",
  "completed_at": "2024-10-30T03:26:17.812852Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/e1gp2tmm71rm40cjvdtvgjfaj4/cancel",
    "get": "https://api.replicate.com/v1/predictions/e1gp2tmm71rm40cjvdtvgjfaj4",
    "stream": "https://stream.replicate.com/v1/files/wcdb-tccc7lkbatq5zzgcwv6zfyzujtrxnk54lqhk2ita6npll43nxria",
    "web": "https://replicate.com/p/e1gp2tmm71rm40cjvdtvgjfaj4"
  },
  "metrics": {
    "image_count": 1,
    "predict_time": 8.856783563,
    "total_time": 8.860852
  }
}

Generated in

8.9 seconds

Tweak it Iterate in playground Report

Seed set to: 2032196349 Running workflow got prompt Executing node 294, title: KSampler, class type: KSampler 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.43it/s] 5%|▌ | 2/40 [00:00<00:08, 4.58it/s] 8%|▊ | 3/40 [00:00<00:07, 4.68it/s] 10%|█ | 4/40 [00:00<00:07, 4.75it/s] 12%|█▎ | 5/40 [00:01<00:07, 4.78it/s] 15%|█▌ | 6/40 [00:01<00:07, 4.81it/s] 18%|█▊ | 7/40 [00:01<00:06, 4.83it/s] 20%|██ | 8/40 [00:01<00:06, 4.84it/s] 22%|██▎ | 9/40 [00:01<00:06, 4.84it/s] 25%|██▌ | 10/40 [00:02<00:06, 4.85it/s] 28%|██▊ | 11/40 [00:02<00:05, 4.86it/s] 30%|███ | 12/40 [00:02<00:05, 4.86it/s] 32%|███▎ | 13/40 [00:02<00:05, 4.85it/s] 35%|███▌ | 14/40 [00:02<00:05, 4.85it/s] 38%|███▊ | 15/40 [00:03<00:05, 4.85it/s] 40%|████ | 16/40 [00:03<00:04, 4.84it/s] 42%|████▎ | 17/40 [00:03<00:04, 4.85it/s] 45%|████▌ | 18/40 [00:03<00:04, 4.85it/s] 48%|████▊ | 19/40 [00:03<00:04, 4.86it/s] 50%|█████ | 20/40 [00:04<00:04, 4.86it/s] 52%|█████▎ | 21/40 [00:04<00:03, 4.86it/s] 55%|█████▌ | 22/40 [00:04<00:03, 4.86it/s] 57%|█████▊ | 23/40 [00:04<00:03, 4.87it/s] 60%|██████ | 24/40 [00:04<00:03, 4.87it/s] 62%|██████▎ | 25/40 [00:05<00:03, 4.87it/s] 65%|██████▌ | 26/40 [00:05<00:02, 4.87it/s] 68%|██████▊ | 27/40 [00:05<00:02, 4.87it/s] 70%|███████ | 28/40 [00:05<00:02, 4.87it/s] 72%|███████▎ | 29/40 [00:05<00:02, 4.87it/s] 75%|███████▌ | 30/40 [00:06<00:02, 4.87it/s] 78%|███████▊ | 31/40 [00:06<00:01, 4.87it/s] 80%|████████ | 32/40 [00:06<00:01, 4.87it/s] 82%|████████▎ | 33/40 [00:06<00:01, 4.87it/s] 85%|████████▌ | 34/40 [00:06<00:01, 4.87it/s] 88%|████████▊ | 35/40 [00:07<00:01, 4.87it/s] 90%|█████████ | 36/40 [00:07<00:00, 4.87it/s] 92%|█████████▎| 37/40 [00:07<00:00, 4.87it/s] 95%|█████████▌| 38/40 [00:07<00:00, 4.87it/s] 98%|█████████▊| 39/40 [00:08<00:00, 4.88it/s] 100%|██████████| 40/40 [00:08<00:00, 4.88it/s] 100%|██████████| 40/40 [00:08<00:00, 4.86it/s] Executing node 8, title: VAE Decode, class type: VAEDecode Executing node 309, title: Save Image, class type: SaveImage Prompt executed in 8.53 seconds outputs: {'309': {'images': [{'filename': 'R8_sd3.5L_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== R8_sd3.5L_00001_.png