Prediction

Model

fofr/sd3-explorer:ba332080

x1j7z7j791rgj0cg5dhrekmh08

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

22.9s

Created

over 1 year ago by fofr

Webhook

–

Input

prompt: a closeup photo of a man
model: sd3_medium_incl_clips.safetensors
width: 1024
height: 1024
steps: 28
sampler: dpmpp_2m
scheduler: sgm_uniform
shift: 3
guidance_scale: 1.5
number_of_images: 1
use_triple_prompt: false
triple_prompt_clip_g: Empty string
triple_prompt_clip_l: Empty string
triple_prompt_t5: Empty string
triple_prompt_empty_padding: true
negative_prompt: Empty string
negative_conditioning_end: 0
output_format: webp
output_quality: 80
seed: 123

{
  "guidance_scale": 1.5,
  "height": 1024,
  "model": "sd3_medium_incl_clips.safetensors",
  "negative_conditioning_end": 0,
  "negative_prompt": "",
  "number_of_images": 1,
  "output_format": "webp",
  "output_quality": 80,
  "prompt": "a closeup photo of a man",
  "sampler": "dpmpp_2m",
  "scheduler": "sgm_uniform",
  "seed": 123,
  "shift": 3,
  "steps": 28,
  "triple_prompt_clip_g": "",
  "triple_prompt_clip_l": "",
  "triple_prompt_empty_padding": true,
  "triple_prompt_t5": "",
  "use_triple_prompt": false,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_cks**********************************

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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
  {
    input: {
      guidance_scale: 1.5,
      height: 1024,
      model: "sd3_medium_incl_clips.safetensors",
      negative_conditioning_end: 0,
      negative_prompt: "",
      number_of_images: 1,
      output_format: "webp",
      output_quality: 80,
      prompt: "a closeup photo of a man",
      sampler: "dpmpp_2m",
      scheduler: "sgm_uniform",
      seed: 123,
      shift: 3,
      steps: 28,
      triple_prompt_clip_g: "",
      triple_prompt_clip_l: "",
      triple_prompt_empty_padding: true,
      triple_prompt_t5: "",
      use_triple_prompt: false,
      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_cks**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
    input={
        "guidance_scale": 1.5,
        "height": 1024,
        "model": "sd3_medium_incl_clips.safetensors",
        "negative_conditioning_end": 0,
        "negative_prompt": "",
        "number_of_images": 1,
        "output_format": "webp",
        "output_quality": 80,
        "prompt": "a closeup photo of a man",
        "sampler": "dpmpp_2m",
        "scheduler": "sgm_uniform",
        "seed": 123,
        "shift": 3,
        "steps": 28,
        "triple_prompt_clip_g": "",
        "triple_prompt_clip_l": "",
        "triple_prompt_empty_padding": True,
        "triple_prompt_t5": "",
        "use_triple_prompt": False,
        "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_cks**********************************

This is your API token. Keep it to yourself.

Run fofr/sd3-explorer 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": "fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
    "input": {
      "guidance_scale": 1.5,
      "height": 1024,
      "model": "sd3_medium_incl_clips.safetensors",
      "negative_conditioning_end": 0,
      "negative_prompt": "",
      "number_of_images": 1,
      "output_format": "webp",
      "output_quality": 80,
      "prompt": "a closeup photo of a man",
      "sampler": "dpmpp_2m",
      "scheduler": "sgm_uniform",
      "seed": 123,
      "shift": 3,
      "steps": 28,
      "triple_prompt_clip_g": "",
      "triple_prompt_clip_l": "",
      "triple_prompt_empty_padding": true,
      "triple_prompt_t5": "",
      "use_triple_prompt": false,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "x1j7z7j791rgj0cg5dhrekmh08",
  "model": "fofr/sd3-explorer",
  "version": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
  "input": {
    "guidance_scale": 1.5,
    "height": 1024,
    "model": "sd3_medium_incl_clips.safetensors",
    "negative_conditioning_end": 0,
    "negative_prompt": "",
    "number_of_images": 1,
    "output_format": "webp",
    "output_quality": 80,
    "prompt": "a closeup photo of a man",
    "sampler": "dpmpp_2m",
    "scheduler": "sgm_uniform",
    "seed": 123,
    "shift": 3,
    "steps": 28,
    "triple_prompt_clip_g": "",
    "triple_prompt_clip_l": "",
    "triple_prompt_empty_padding": true,
    "triple_prompt_t5": "",
    "use_triple_prompt": false,
    "width": 1024
  },
  "logs": "Seed set to: 123\nChecking weights\n⏳ Downloading sd3_medium_incl_clips.safetensors to ComfyUI/models/checkpoints\n✅ sd3_medium_incl_clips.safetensors downloaded to ComfyUI/models/checkpoints in 4.37s, size: 5696.51MB\n====================================\nRunning workflow\ngot prompt\nExecuting node 252, title: Load Checkpoint, class type: CheckpointLoaderSimple\nmodel_type FLOW\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nloaded straight to GPU\nRequested to load SD3\nLoading 1 new model\nExecuting node 13, title: ModelSamplingSD3, class type: ModelSamplingSD3\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nRequested to load SD3ClipModel_\nLoading 1 new model\nExecuting node 289, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 274, title: 🔧 SD3 Negative Conditioning, class type: SD3NegativeConditioning+\nExecuting node 271, title: KSampler, class type: KSampler\nRequested to load SD3\nLoading 1 new model\n  0%|          | 0/28 [00:00<?, ?it/s]\n  7%|▋         | 2/28 [00:00<00:05,  4.39it/s]\n 11%|█         | 3/28 [00:00<00:05,  4.39it/s]\n 14%|█▍        | 4/28 [00:00<00:05,  4.37it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  4.37it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  4.37it/s]\n 25%|██▌       | 7/28 [00:01<00:04,  4.38it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.37it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.37it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.36it/s]\n 39%|███▉      | 11/28 [00:02<00:03,  4.37it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.36it/s]\n 46%|████▋     | 13/28 [00:02<00:03,  4.36it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.36it/s]\n 54%|█████▎    | 15/28 [00:03<00:02,  4.35it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.35it/s]\n 61%|██████    | 17/28 [00:03<00:02,  4.36it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.35it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.35it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.36it/s]\n 75%|███████▌  | 21/28 [00:04<00:01,  4.35it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.36it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.35it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.35it/s]\n 89%|████████▉ | 25/28 [00:05<00:00,  4.35it/s]\n 93%|█████████▎| 26/28 [00:05<00:00,  4.34it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.34it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.34it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.36it/s]\nRequested to load AutoencodingEngine\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nLoading 1 new model\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 13.26 seconds\noutputs:  {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png",
  "output": [
    "https://replicate.delivery/pbxt/HT6DdV76iRoJPtiHRPCTeWpVfAeNzRZLez5MZvsL8nPLfZevE/SD3_00001_.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-06-18T12:47:25Z",
  "started_at": "2024-06-18T12:47:28.564Z",
  "completed_at": "2024-06-18T12:47:47.869991Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/x1j7z7j791rgj0cg5dhrekmh08/cancel",
    "get": "https://api.replicate.com/v1/predictions/x1j7z7j791rgj0cg5dhrekmh08",
    "web": "https://replicate.com/p/x1j7z7j791rgj0cg5dhrekmh08"
  },
  "metrics": {
    "predict_time": 19.305990962,
    "total_time": 22.869991
  }
}

Generated in

19.3 seconds

Tweak it Report

Seed set to: 123 Checking weights ⏳ Downloading sd3_medium_incl_clips.safetensors to ComfyUI/models/checkpoints ✅ sd3_medium_incl_clips.safetensors downloaded to ComfyUI/models/checkpoints in 4.37s, size: 5696.51MB ==================================== Running workflow got prompt Executing node 252, title: Load Checkpoint, class type: CheckpointLoaderSimple model_type FLOW Using pytorch attention in VAE Using pytorch attention in VAE loaded straight to GPU Requested to load SD3 Loading 1 new model Executing node 13, title: ModelSamplingSD3, class type: ModelSamplingSD3 Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Requested to load SD3ClipModel_ Loading 1 new model Executing node 289, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode Executing node 274, title: 🔧 SD3 Negative Conditioning, class type: SD3NegativeConditioning+ Executing node 271, title: KSampler, class type: KSampler Requested to load SD3 Loading 1 new model 0%| | 0/28 [00:00<?, ?it/s] 7%|▋ | 2/28 [00:00<00:05, 4.39it/s] 11%|█ | 3/28 [00:00<00:05, 4.39it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.37it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.37it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.37it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.38it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.37it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.37it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.36it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.37it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.36it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.36it/s] 50%|█████ | 14/28 [00:03<00:03, 4.36it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.35it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.35it/s] 61%|██████ | 17/28 [00:03<00:02, 4.36it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.35it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.35it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.36it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.35it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.36it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.35it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.35it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.35it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.34it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.34it/s] 100%|██████████| 28/28 [00:06<00:00, 4.34it/s] 100%|██████████| 28/28 [00:06<00:00, 4.36it/s] Requested to load AutoencodingEngine Executing node 231, title: VAE Decode, class type: VAEDecode Loading 1 new model Executing node 273, title: Save Image, class type: SaveImage Prompt executed in 13.26 seconds outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}} ==================================== SD3_00001_.png