Prediction

Model

adiba-shahana/sdxl-large-fine-tuned:49385a24

rk3pey3bdeaqcgx6ucfrfuk6ee

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

16.0s

Created

almost 2 years ago

Webhook

–

Input

prompt: In a style of tile, a mettalic finish modern marble design , elegant veins
negative_prompt: different color, low resolution
image: https://replicate.delivery/pbxt/KS5oPMxDwH3eMjiiw82aZzUNKoyHQMbtRaj86J7SP4l29Fhj/generated_89-C-GS-ATBEDKF30A-ATLAS%20BEIGE%20DK%20FL%20A%20300X300MM.jpg.380x380_q85.jpg
width: 1024
height: 1024
num_outputs: 4
scheduler: K_EULER
num_inference_steps: 50
guidance_scale: 7.5
prompt_strength: 0.3
seed: 1234
refine: no_refiner
high_noise_frac: 0.8
apply_watermark: true
lora_scale: 0.6

{
  "apply_watermark": true,
  "guidance_scale": 7.5,
  "height": 1024,
  "high_noise_frac": 0.8,
  "image": "https://replicate.delivery/pbxt/KS5oPMxDwH3eMjiiw82aZzUNKoyHQMbtRaj86J7SP4l29Fhj/generated_89-C-GS-ATBEDKF30A-ATLAS%20BEIGE%20DK%20FL%20A%20300X300MM.jpg.380x380_q85.jpg",
  "lora_scale": 0.6,
  "negative_prompt": "different color, low resolution",
  "num_inference_steps": 50,
  "num_outputs": 4,
  "prompt": "In a style of tile, a mettalic finish modern marble design , elegant veins",
  "prompt_strength": 0.3,
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "seed": 1234,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_EoD**********************************

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 adiba-shahana/sdxl-large-fine-tuned using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adiba-shahana/sdxl-large-fine-tuned:49385a24fadb595a10ef6ec6425ef3f07781ba611ec33b0bad66cff8ae41abcb",
  {
    input: {
      apply_watermark: true,
      guidance_scale: 7.5,
      height: 1024,
      high_noise_frac: 0.8,
      image: "https://replicate.delivery/pbxt/KS5oPMxDwH3eMjiiw82aZzUNKoyHQMbtRaj86J7SP4l29Fhj/generated_89-C-GS-ATBEDKF30A-ATLAS%20BEIGE%20DK%20FL%20A%20300X300MM.jpg.380x380_q85.jpg",
      lora_scale: 0.6,
      negative_prompt: "different color, low resolution",
      num_inference_steps: 50,
      num_outputs: 4,
      prompt: "In a style of tile, a mettalic finish modern marble design , elegant veins",
      prompt_strength: 0.3,
      refine: "no_refiner",
      scheduler: "K_EULER",
      seed: 1234,
      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_EoD**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run adiba-shahana/sdxl-large-fine-tuned using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adiba-shahana/sdxl-large-fine-tuned:49385a24fadb595a10ef6ec6425ef3f07781ba611ec33b0bad66cff8ae41abcb",
    input={
        "apply_watermark": True,
        "guidance_scale": 7.5,
        "height": 1024,
        "high_noise_frac": 0.8,
        "image": "https://replicate.delivery/pbxt/KS5oPMxDwH3eMjiiw82aZzUNKoyHQMbtRaj86J7SP4l29Fhj/generated_89-C-GS-ATBEDKF30A-ATLAS%20BEIGE%20DK%20FL%20A%20300X300MM.jpg.380x380_q85.jpg",
        "lora_scale": 0.6,
        "negative_prompt": "different color, low resolution",
        "num_inference_steps": 50,
        "num_outputs": 4,
        "prompt": "In a style of tile, a mettalic finish modern marble design , elegant veins",
        "prompt_strength": 0.3,
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "seed": 1234,
        "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_EoD**********************************

This is your API token. Keep it to yourself.

Run adiba-shahana/sdxl-large-fine-tuned 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": "adiba-shahana/sdxl-large-fine-tuned:49385a24fadb595a10ef6ec6425ef3f07781ba611ec33b0bad66cff8ae41abcb",
    "input": {
      "apply_watermark": true,
      "guidance_scale": 7.5,
      "height": 1024,
      "high_noise_frac": 0.8,
      "image": "https://replicate.delivery/pbxt/KS5oPMxDwH3eMjiiw82aZzUNKoyHQMbtRaj86J7SP4l29Fhj/generated_89-C-GS-ATBEDKF30A-ATLAS%20BEIGE%20DK%20FL%20A%20300X300MM.jpg.380x380_q85.jpg",
      "lora_scale": 0.6,
      "negative_prompt": "different color, low resolution",
      "num_inference_steps": 50,
      "num_outputs": 4,
      "prompt": "In a style of tile, a mettalic finish modern marble design , elegant veins",
      "prompt_strength": 0.3,
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "seed": 1234,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "rk3pey3bdeaqcgx6ucfrfuk6ee",
  "model": "adiba-shahana/sdxl-large-fine-tuned",
  "version": "49385a24fadb595a10ef6ec6425ef3f07781ba611ec33b0bad66cff8ae41abcb",
  "input": {
    "apply_watermark": true,
    "guidance_scale": 7.5,
    "height": 1024,
    "high_noise_frac": 0.8,
    "image": "https://replicate.delivery/pbxt/KS5oPMxDwH3eMjiiw82aZzUNKoyHQMbtRaj86J7SP4l29Fhj/generated_89-C-GS-ATBEDKF30A-ATLAS%20BEIGE%20DK%20FL%20A%20300X300MM.jpg.380x380_q85.jpg",
    "lora_scale": 0.6,
    "negative_prompt": "different color, low resolution",
    "num_inference_steps": 50,
    "num_outputs": 4,
    "prompt": "In a style of tile, a mettalic finish modern marble design , elegant veins",
    "prompt_strength": 0.3,
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "seed": 1234,
    "width": 1024
  },
  "logs": "Using seed: 1234\nEnsuring enough disk space...\nFree disk space: 1362282278912\nDownloading weights: https://replicate.delivery/pbxt/EyTpk37hR16ZHhNSoTbJ05W691fn0f3eHSnlZbuvWDjBJRykA/trained_model.tar\n2024-02-23T05:43:19Z | INFO  | [ Initiating ] dest=/src/weights-cache/800713987ecee3b0 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/EyTpk37hR16ZHhNSoTbJ05W691fn0f3eHSnlZbuvWDjBJRykA/trained_model.tar\n2024-02-23T05:43:26Z | INFO  | [ Complete ] dest=/src/weights-cache/800713987ecee3b0 size=\"186 MB\" total_elapsed=6.381s url=https://replicate.delivery/pbxt/EyTpk37hR16ZHhNSoTbJ05W691fn0f3eHSnlZbuvWDjBJRykA/trained_model.tar\nb''\nDownloaded weights in 6.5203540325164795 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: In a style of tile, a mettalic finish modern marble design , elegant veins\nimg2img mode\n  0%|          | 0/15 [00:00<?, ?it/s]\n  7%|▋         | 1/15 [00:00<00:02,  4.89it/s]\n 13%|█▎        | 2/15 [00:00<00:02,  5.60it/s]\n 20%|██        | 3/15 [00:00<00:02,  5.84it/s]\n 27%|██▋       | 4/15 [00:00<00:01,  5.96it/s]\n 33%|███▎      | 5/15 [00:00<00:01,  6.03it/s]\n 40%|████      | 6/15 [00:01<00:01,  6.08it/s]\n 47%|████▋     | 7/15 [00:01<00:01,  6.10it/s]\n 53%|█████▎    | 8/15 [00:01<00:01,  6.14it/s]\n 60%|██████    | 9/15 [00:01<00:00,  6.16it/s]\n 67%|██████▋   | 10/15 [00:01<00:00,  6.17it/s]\n 73%|███████▎  | 11/15 [00:01<00:00,  6.18it/s]\n 80%|████████  | 12/15 [00:01<00:00,  6.18it/s]\n 87%|████████▋ | 13/15 [00:02<00:00,  6.19it/s]\n 93%|█████████▎| 14/15 [00:02<00:00,  6.19it/s]\n100%|██████████| 15/15 [00:02<00:00,  6.19it/s]\n100%|██████████| 15/15 [00:02<00:00,  6.08it/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.\nNSFW content detected in image 0",
  "output": [
    "https://replicate.delivery/pbxt/YV3LPaSebw2gBCQVhmOlN9BQoL1CBWLeGbeT4WfweUQNQxLTC/out-1.png",
    "https://replicate.delivery/pbxt/X9VfSPa9ZBxkd6emHVBylfjOalbwtYQ1juJnGJ5flFqJo4lJB/out-2.png",
    "https://replicate.delivery/pbxt/aZtQE7UzUU6GN1VZdA2fYX3MaTeYnMznwmS6GCh7Ld2DKeykA/out-3.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-02-23T05:43:15.521429Z",
  "started_at": "2024-02-23T05:43:19.282826Z",
  "completed_at": "2024-02-23T05:43:31.513197Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/rk3pey3bdeaqcgx6ucfrfuk6ee/cancel",
    "get": "https://api.replicate.com/v1/predictions/rk3pey3bdeaqcgx6ucfrfuk6ee"
  },
  "metrics": {
    "predict_time": 12.230371,
    "total_time": 15.991768
  }
}

Generated in

12.2 seconds

Tweak it Report

Using seed: 1234 Ensuring enough disk space... Free disk space: 1362282278912 Downloading weights: https://replicate.delivery/pbxt/EyTpk37hR16ZHhNSoTbJ05W691fn0f3eHSnlZbuvWDjBJRykA/trained_model.tar 2024-02-23T05:43:19Z | INFO | [ Initiating ] dest=/src/weights-cache/800713987ecee3b0 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/EyTpk37hR16ZHhNSoTbJ05W691fn0f3eHSnlZbuvWDjBJRykA/trained_model.tar 2024-02-23T05:43:26Z | INFO | [ Complete ] dest=/src/weights-cache/800713987ecee3b0 size="186 MB" total_elapsed=6.381s url=https://replicate.delivery/pbxt/EyTpk37hR16ZHhNSoTbJ05W691fn0f3eHSnlZbuvWDjBJRykA/trained_model.tar b'' Downloaded weights in 6.5203540325164795 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: In a style of tile, a mettalic finish modern marble design , elegant veins img2img mode 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:02, 4.89it/s] 13%|█▎ | 2/15 [00:00<00:02, 5.60it/s] 20%|██ | 3/15 [00:00<00:02, 5.84it/s] 27%|██▋ | 4/15 [00:00<00:01, 5.96it/s] 33%|███▎ | 5/15 [00:00<00:01, 6.03it/s] 40%|████ | 6/15 [00:01<00:01, 6.08it/s] 47%|████▋ | 7/15 [00:01<00:01, 6.10it/s] 53%|█████▎ | 8/15 [00:01<00:01, 6.14it/s] 60%|██████ | 9/15 [00:01<00:00, 6.16it/s] 67%|██████▋ | 10/15 [00:01<00:00, 6.17it/s] 73%|███████▎ | 11/15 [00:01<00:00, 6.18it/s] 80%|████████ | 12/15 [00:01<00:00, 6.18it/s] 87%|████████▋ | 13/15 [00:02<00:00, 6.19it/s] 93%|█████████▎| 14/15 [00:02<00:00, 6.19it/s] 100%|██████████| 15/15 [00:02<00:00, 6.19it/s] 100%|██████████| 15/15 [00:02<00:00, 6.08it/s] 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. NSFW content detected in image 0