Prediction

Model

lucataco/stable-diffusion-3.5-large-lora:ad0f061a

q3mfts29t9rj20cjtnrs2s4erm

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

74.3s

Created

about 1 year ago by deepfates

Webhook

–

Input

prompt: a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY
aspect_ratio: 1:1
guidance_scale: 4.5
prompt_strength: 0.7
num_inference_steps: 28
seed: 11870
output_format: webp
output_quality: 80
hf_lora: https://huggingface.co/Wadaka/NewYorkerComic_Style
lora_scale: 0.8

{
  "aspect_ratio": "1:1",
  "guidance_scale": 4.5,
  "hf_lora": "https://huggingface.co/Wadaka/NewYorkerComic_Style",
  "lora_scale": 0.8,
  "num_inference_steps": 28,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY",
  "prompt_strength": 0.7,
  "seed": 11870
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_TOq**********************************

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

const output = await replicate.run(
  "lucataco/stable-diffusion-3.5-large-lora:ad0f061aaf2813ff8dbdba3613a952fca0bf443ef0ddd3ef500d66046ce97c23",
  {
    input: {
      aspect_ratio: "1:1",
      guidance_scale: 4.5,
      hf_lora: "https://huggingface.co/Wadaka/NewYorkerComic_Style",
      lora_scale: 0.8,
      num_inference_steps: 28,
      output_format: "webp",
      output_quality: 80,
      prompt: "a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY",
      prompt_strength: 0.7,
      seed: 11870
    }
  }
);

// 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_TOq**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/stable-diffusion-3.5-large-lora:ad0f061aaf2813ff8dbdba3613a952fca0bf443ef0ddd3ef500d66046ce97c23",
    input={
        "aspect_ratio": "1:1",
        "guidance_scale": 4.5,
        "hf_lora": "https://huggingface.co/Wadaka/NewYorkerComic_Style",
        "lora_scale": 0.8,
        "num_inference_steps": 28,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY",
        "prompt_strength": 0.7,
        "seed": 11870
    }
)

# 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_TOq**********************************

This is your API token. Keep it to yourself.

Run lucataco/stable-diffusion-3.5-large-lora 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": "lucataco/stable-diffusion-3.5-large-lora:ad0f061aaf2813ff8dbdba3613a952fca0bf443ef0ddd3ef500d66046ce97c23",
    "input": {
      "aspect_ratio": "1:1",
      "guidance_scale": 4.5,
      "hf_lora": "https://huggingface.co/Wadaka/NewYorkerComic_Style",
      "lora_scale": 0.8,
      "num_inference_steps": 28,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY",
      "prompt_strength": 0.7,
      "seed": 11870
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "q3mfts29t9rj20cjtnrs2s4erm",
  "model": "lucataco/stable-diffusion-3.5-large-lora",
  "version": "ad0f061aaf2813ff8dbdba3613a952fca0bf443ef0ddd3ef500d66046ce97c23",
  "input": {
    "aspect_ratio": "1:1",
    "guidance_scale": 4.5,
    "hf_lora": "https://huggingface.co/Wadaka/NewYorkerComic_Style",
    "lora_scale": 0.8,
    "num_inference_steps": 28,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY",
    "prompt_strength": 0.7,
    "seed": 11870
  },
  "logs": "Using seed: 11870\nPrompt: a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY\ntxt2img mode\nfree=3260735762432\nDownloading weights\n2024-10-28T23:24:41Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/42942e91ad6a4497 url=https://huggingface.co/Wadaka/NewYorkerComic_Style/resolve/main/NYS_Lora.safetensors\n2024-10-28T23:24:42Z | INFO  | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/75/a8/75a8dd936854bda4870c0250fc8ccc7354a583cd719573fe6fbd7b68f6121390/57f768d8f2979f3ac7ab0d44be9adeaf9810816653cb54d3fe12d56dfcc4d811?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27NYS_Lora.safetensors%3B+filename%3D%22NYS_Lora.safetensors%22%3B&Expires=1730417082&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczMDQxNzA4Mn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzc1L2E4Lzc1YThkZDkzNjg1NGJkYTQ4NzBjMDI1MGZjOGNjYzczNTRhNTgzY2Q3MTk1NzNmZTZmYmQ3YjY4ZjYxMjEzOTAvNTdmNzY4ZDhmMjk3OWYzYWM3YWIwZDQ0YmU5YWRlYWY5ODEwODE2NjUzY2I1NGQzZmUxMmQ1NmRmY2M0ZDgxMT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=DflYc9GLWHzWZWSu2IIX%7ElJWH6UAO3w-iM9fiRQIp6HLrRFI6vO8ve2nsVwjlD%7E9IqciOt2XvVvh49zJMgkXTMsx-MZAirhziO3NmLFTjoM2BgiFgO1BvJmxzeLPAUToQPECRZAQ7vCDIFOWWJWWKRt%7E3PdqQrzpvK3KS7DoMbQKljNWI11YnacOQgt9KwEB3kxruH3MHvFcZxHW5SiNDkfV63doeq8GU2GoMP6B%7Ej6Ld67p1SyxqpdpO9BOiGhFO-2F0gRAUG1oLsGzkosKrDQPxaUD6yFsuSw9GUI2U0w0UwV%7E99972Pj1V8t9yyIrvVTjbFC5kfyZ9dNMhS2AyA__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/Wadaka/NewYorkerComic_Style/resolve/main/NYS_Lora.safetensors\n2024-10-28T23:24:43Z | INFO  | [ Complete ] dest=/src/weights-cache/42942e91ad6a4497 size=\"47 MB\" total_elapsed=1.271s url=https://huggingface.co/Wadaka/NewYorkerComic_Style/resolve/main/NYS_Lora.safetensors\nDownloaded weights in 1.29s\nLoading LoRA took: 1.99 seconds\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:15,  1.73it/s]\n  7%|▋         | 2/28 [00:00<00:11,  2.19it/s]\n 11%|█         | 3/28 [00:01<00:11,  2.11it/s]\n 14%|█▍        | 4/28 [00:01<00:11,  2.08it/s]\n 18%|█▊        | 5/28 [00:02<00:11,  2.06it/s]\n 21%|██▏       | 6/28 [00:02<00:10,  2.05it/s]\n 25%|██▌       | 7/28 [00:03<00:10,  2.04it/s]\n 29%|██▊       | 8/28 [00:03<00:09,  2.04it/s]\n 32%|███▏      | 9/28 [00:04<00:09,  2.03it/s]\n 36%|███▌      | 10/28 [00:04<00:08,  2.03it/s]\n 39%|███▉      | 11/28 [00:05<00:08,  2.02it/s]\n 43%|████▎     | 12/28 [00:05<00:07,  2.02it/s]\n 46%|████▋     | 13/28 [00:06<00:07,  2.02it/s]\n 50%|█████     | 14/28 [00:06<00:06,  2.02it/s]\n 54%|█████▎    | 15/28 [00:07<00:06,  2.02it/s]\n 57%|█████▋    | 16/28 [00:07<00:05,  2.02it/s]\n 61%|██████    | 17/28 [00:08<00:05,  2.02it/s]\n 64%|██████▍   | 18/28 [00:08<00:04,  2.02it/s]\n 68%|██████▊   | 19/28 [00:09<00:04,  2.02it/s]\n 71%|███████▏  | 20/28 [00:09<00:03,  2.02it/s]\n 75%|███████▌  | 21/28 [00:10<00:03,  2.02it/s]\n 79%|███████▊  | 22/28 [00:10<00:02,  2.02it/s]\n 82%|████████▏ | 23/28 [00:11<00:02,  2.02it/s]\n 86%|████████▌ | 24/28 [00:11<00:01,  2.01it/s]\n 89%|████████▉ | 25/28 [00:12<00:01,  2.01it/s]\n 93%|█████████▎| 26/28 [00:12<00:00,  2.01it/s]\n 96%|█████████▋| 27/28 [00:13<00:00,  2.01it/s]\n100%|██████████| 28/28 [00:13<00:00,  2.01it/s]\n100%|██████████| 28/28 [00:13<00:00,  2.02it/s]",
  "output": [
    "https://replicate.delivery/yhqm/nEklA29d7gr4Mp3hgzfnM2uPhaVv3pJmNlF2eoye2HpU65WnA/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-10-28T23:23:44.466Z",
  "started_at": "2024-10-28T23:24:41.706072Z",
  "completed_at": "2024-10-28T23:24:58.73358Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/q3mfts29t9rj20cjtnrs2s4erm/cancel",
    "get": "https://api.replicate.com/v1/predictions/q3mfts29t9rj20cjtnrs2s4erm",
    "stream": "https://stream.replicate.com/v1/files/qoxq-xq5rysofrfvyxax3fz5g5vecdpg43iqn5lamx6o2ecslrx7awkja",
    "web": "https://replicate.com/p/q3mfts29t9rj20cjtnrs2s4erm"
  },
  "metrics": {
    "predict_time": 17.027507999,
    "total_time": 74.26758
  }
}

Generated in

17.0 seconds

Tweak it Report

Using seed: 11870 Prompt: a cartoon of Kamala Harris building a million new robots in nyrkr style, holding a globe labeled INDUSTRIAL POLICY txt2img mode free=3260735762432 Downloading weights 2024-10-28T23:24:41Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/42942e91ad6a4497 url=https://huggingface.co/Wadaka/NewYorkerComic_Style/resolve/main/NYS_Lora.safetensors 2024-10-28T23:24:42Z | INFO | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/75/a8/75a8dd936854bda4870c0250fc8ccc7354a583cd719573fe6fbd7b68f6121390/57f768d8f2979f3ac7ab0d44be9adeaf9810816653cb54d3fe12d56dfcc4d811?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27NYS_Lora.safetensors%3B+filename%3D%22NYS_Lora.safetensors%22%3B&Expires=1730417082&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczMDQxNzA4Mn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzc1L2E4Lzc1YThkZDkzNjg1NGJkYTQ4NzBjMDI1MGZjOGNjYzczNTRhNTgzY2Q3MTk1NzNmZTZmYmQ3YjY4ZjYxMjEzOTAvNTdmNzY4ZDhmMjk3OWYzYWM3YWIwZDQ0YmU5YWRlYWY5ODEwODE2NjUzY2I1NGQzZmUxMmQ1NmRmY2M0ZDgxMT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=DflYc9GLWHzWZWSu2IIX%7ElJWH6UAO3w-iM9fiRQIp6HLrRFI6vO8ve2nsVwjlD%7E9IqciOt2XvVvh49zJMgkXTMsx-MZAirhziO3NmLFTjoM2BgiFgO1BvJmxzeLPAUToQPECRZAQ7vCDIFOWWJWWKRt%7E3PdqQrzpvK3KS7DoMbQKljNWI11YnacOQgt9KwEB3kxruH3MHvFcZxHW5SiNDkfV63doeq8GU2GoMP6B%7Ej6Ld67p1SyxqpdpO9BOiGhFO-2F0gRAUG1oLsGzkosKrDQPxaUD6yFsuSw9GUI2U0w0UwV%7E99972Pj1V8t9yyIrvVTjbFC5kfyZ9dNMhS2AyA__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/Wadaka/NewYorkerComic_Style/resolve/main/NYS_Lora.safetensors 2024-10-28T23:24:43Z | INFO | [ Complete ] dest=/src/weights-cache/42942e91ad6a4497 size="47 MB" total_elapsed=1.271s url=https://huggingface.co/Wadaka/NewYorkerComic_Style/resolve/main/NYS_Lora.safetensors Downloaded weights in 1.29s Loading LoRA took: 1.99 seconds 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:15, 1.73it/s] 7%|▋ | 2/28 [00:00<00:11, 2.19it/s] 11%|█ | 3/28 [00:01<00:11, 2.11it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.08it/s] 18%|█▊ | 5/28 [00:02<00:11, 2.06it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.05it/s] 25%|██▌ | 7/28 [00:03<00:10, 2.04it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.04it/s] 32%|███▏ | 9/28 [00:04<00:09, 2.03it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.03it/s] 39%|███▉ | 11/28 [00:05<00:08, 2.02it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.02it/s] 46%|████▋ | 13/28 [00:06<00:07, 2.02it/s] 50%|█████ | 14/28 [00:06<00:06, 2.02it/s] 54%|█████▎ | 15/28 [00:07<00:06, 2.02it/s] 57%|█████▋ | 16/28 [00:07<00:05, 2.02it/s] 61%|██████ | 17/28 [00:08<00:05, 2.02it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.02it/s] 68%|██████▊ | 19/28 [00:09<00:04, 2.02it/s] 71%|███████▏ | 20/28 [00:09<00:03, 2.02it/s] 75%|███████▌ | 21/28 [00:10<00:03, 2.02it/s] 79%|███████▊ | 22/28 [00:10<00:02, 2.02it/s] 82%|████████▏ | 23/28 [00:11<00:02, 2.02it/s] 86%|████████▌ | 24/28 [00:11<00:01, 2.01it/s] 89%|████████▉ | 25/28 [00:12<00:01, 2.01it/s] 93%|█████████▎| 26/28 [00:12<00:00, 2.01it/s] 96%|█████████▋| 27/28 [00:13<00:00, 2.01it/s] 100%|██████████| 28/28 [00:13<00:00, 2.01it/s] 100%|██████████| 28/28 [00:13<00:00, 2.02it/s]