Prediction

fofr/sd3-explorer:ba332080

Model

fofr/sd3-explorer:ba332080

c92xbp36p9rgp0cg5df9py1cm0

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

7.0s

Created

10 months ago by @fofr

Input

seed: 20
model: sd3_medium_incl_clips_t5xxlfp16.safetensors
shift: 3
steps: 10
width: 1024
height: 1024
prompt: a closeup photo of a man standing in a forest
sampler: dpmpp_2m
scheduler: sgm_uniform
output_format: webp
guidance_scale: 4.5
output_quality: 80
negative_prompt
number_of_images: 1
triple_prompt_t5
use_triple_prompt
triple_prompt_clip_g
triple_prompt_clip_l
negative_conditioning_end: 0
triple_prompt_empty_padding

{
  "seed": 20,
  "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
  "shift": 3,
  "steps": 10,
  "width": 1024,
  "height": 1024,
  "prompt": "a closeup photo of a man standing in a forest",
  "sampler": "dpmpp_2m",
  "scheduler": "sgm_uniform",
  "output_format": "webp",
  "guidance_scale": 4.5,
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1,
  "triple_prompt_t5": "",
  "use_triple_prompt": false,
  "triple_prompt_clip_g": "",
  "triple_prompt_clip_l": "",
  "negative_conditioning_end": 0,
  "triple_prompt_empty_padding": true
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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: {
      seed: 20,
      model: "sd3_medium_incl_clips_t5xxlfp16.safetensors",
      shift: 3,
      steps: 10,
      width: 1024,
      height: 1024,
      prompt: "a closeup photo of a man standing in a forest",
      sampler: "dpmpp_2m",
      scheduler: "sgm_uniform",
      output_format: "webp",
      guidance_scale: 4.5,
      output_quality: 80,
      negative_prompt: "",
      number_of_images: 1,
      triple_prompt_t5: "",
      use_triple_prompt: false,
      triple_prompt_clip_g: "",
      triple_prompt_clip_l: "",
      negative_conditioning_end: 0,
      triple_prompt_empty_padding: true
    }
  }
);
console.log(output);

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=<paste-your-token-here>

Find your API token in your account settings.

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={
        "seed": 20,
        "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
        "shift": 3,
        "steps": 10,
        "width": 1024,
        "height": 1024,
        "prompt": "a closeup photo of a man standing in a forest",
        "sampler": "dpmpp_2m",
        "scheduler": "sgm_uniform",
        "output_format": "webp",
        "guidance_scale": 4.5,
        "output_quality": 80,
        "negative_prompt": "",
        "number_of_images": 1,
        "triple_prompt_t5": "",
        "use_triple_prompt": False,
        "triple_prompt_clip_g": "",
        "triple_prompt_clip_l": "",
        "negative_conditioning_end": 0,
        "triple_prompt_empty_padding": True
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

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": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
    "input": {
      "seed": 20,
      "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
      "shift": 3,
      "steps": 10,
      "width": 1024,
      "height": 1024,
      "prompt": "a closeup photo of a man standing in a forest",
      "sampler": "dpmpp_2m",
      "scheduler": "sgm_uniform",
      "output_format": "webp",
      "guidance_scale": 4.5,
      "output_quality": 80,
      "negative_prompt": "",
      "number_of_images": 1,
      "triple_prompt_t5": "",
      "use_triple_prompt": false,
      "triple_prompt_clip_g": "",
      "triple_prompt_clip_l": "",
      "negative_conditioning_end": 0,
      "triple_prompt_empty_padding": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-06-18T12:42:12.384877Z",
  "created_at": "2024-06-18T12:42:05.362000Z",
  "data_removed": false,
  "error": null,
  "id": "c92xbp36p9rgp0cg5df9py1cm0",
  "input": {
    "seed": 20,
    "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
    "shift": 3,
    "steps": 10,
    "width": 1024,
    "height": 1024,
    "prompt": "a closeup photo of a man standing in a forest",
    "sampler": "dpmpp_2m",
    "scheduler": "sgm_uniform",
    "output_format": "webp",
    "guidance_scale": 4.5,
    "output_quality": 80,
    "negative_prompt": "",
    "number_of_images": 1,
    "triple_prompt_t5": "",
    "use_triple_prompt": false,
    "triple_prompt_clip_g": "",
    "triple_prompt_clip_l": "",
    "negative_conditioning_end": 0,
    "triple_prompt_empty_padding": true
  },
  "logs": "Seed set to: 20\nChecking weights\n✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 289, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 274, title: 🔧 SD3 Negative Conditioning, class type: SD3NegativeConditioning+\nExecuting node 275, title: Empty SD3 Latent Image, class type: EmptySD3LatentImage\nExecuting node 271, title: KSampler, class type: KSampler\n  0%|          | 0/10 [00:00<?, ?it/s]\n 20%|██        | 2/10 [00:00<00:01,  4.24it/s]\n 30%|███       | 3/10 [00:00<00:01,  4.23it/s]\n 40%|████      | 4/10 [00:00<00:01,  4.21it/s]\n 50%|█████     | 5/10 [00:01<00:01,  4.20it/s]\n 60%|██████    | 6/10 [00:01<00:00,  4.21it/s]\n 70%|███████   | 7/10 [00:01<00:00,  4.20it/s]\n 80%|████████  | 8/10 [00:01<00:00,  4.19it/s]\n 90%|█████████ | 9/10 [00:02<00:00,  4.19it/s]\n100%|██████████| 10/10 [00:02<00:00,  4.19it/s]\n100%|██████████| 10/10 [00:02<00:00,  4.20it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 3.22 seconds\noutputs:  {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png",
  "metrics": {
    "predict_time": 3.814794484,
    "total_time": 7.022877
  },
  "output": [
    "https://replicate.delivery/pbxt/tMU6efkhzKu4JURm2v8sqJfO48sHu39mhZyjZ3uvv4yIVmfLB/SD3_00001_.webp"
  ],
  "started_at": "2024-06-18T12:42:08.570082Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/c92xbp36p9rgp0cg5df9py1cm0",
    "cancel": "https://api.replicate.com/v1/predictions/c92xbp36p9rgp0cg5df9py1cm0/cancel"
  },
  "version": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9"
}

Generated in

3.8 seconds

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