Prediction

Model

alekseycalvin/acsoonr_flux:fd7de6f5

p31m3avgx1rm60chcnqrcqrh50

Status

Succeeded

Source

Web

Hardware

H100

Total duration

2m 50s

Created

over 1 year ago

Webhook

–

Input

prompt: photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers
aspect_ratio: 16:9
model: dev
num_outputs: 1
num_inference_steps: 28
guidance_scale: 4.5
output_format: webp
output_quality: 100
lora_scale: 1

{
  "aspect_ratio": "16:9",
  "guidance_scale": 4.5,
  "lora_scale": 1,
  "model": "dev",
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "webp",
  "output_quality": 100,
  "prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ZF7**********************************

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 alekseycalvin/acsoonr_flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "alekseycalvin/acsoonr_flux:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc",
  {
    input: {
      aspect_ratio: "16:9",
      guidance_scale: 4.5,
      lora_scale: 1,
      model: "dev",
      num_inference_steps: 28,
      num_outputs: 1,
      output_format: "webp",
      output_quality: 100,
      prompt: "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers"
    }
  }
);

// 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_ZF7**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run alekseycalvin/acsoonr_flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "alekseycalvin/acsoonr_flux:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc",
    input={
        "aspect_ratio": "16:9",
        "guidance_scale": 4.5,
        "lora_scale": 1,
        "model": "dev",
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "webp",
        "output_quality": 100,
        "prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers"
    }
)

# 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_ZF7**********************************

This is your API token. Keep it to yourself.

Run alekseycalvin/acsoonr_flux 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": "alekseycalvin/acsoonr_flux:fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc",
    "input": {
      "aspect_ratio": "16:9",
      "guidance_scale": 4.5,
      "lora_scale": 1,
      "model": "dev",
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "webp",
      "output_quality": 100,
      "prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "p31m3avgx1rm60chcnqrcqrh50",
  "model": "alekseycalvin/acsoonr_flux",
  "version": "fd7de6f580fea2cf6af655ed1e376855ce5a6d5e9fa18b2c1bd0bdf3dfb05cdc",
  "input": {
    "aspect_ratio": "16:9",
    "guidance_scale": 4.5,
    "lora_scale": 1,
    "model": "dev",
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "webp",
    "output_quality": 100,
    "prompt": "photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers"
  },
  "logs": "Using seed: 50401\nPrompt: photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9592033103872\nDownloading weights\n2024-08-18T12:23:57Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/9ddbe3aab1e62bfa url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar\n2024-08-18T12:23:59Z | INFO  | [ Complete ] dest=/src/weights-cache/9ddbe3aab1e62bfa size=\"172 MB\" total_elapsed=1.565s url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar\nb''\nDownloaded weights in 1.5929653644561768 seconds\nLoRA weights loaded successfully\nToken indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['from life, accurate anatomy, accurate fingers']\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.97it/s]\n  7%|▋         | 2/28 [00:00<00:06,  3.81it/s]\n 11%|█         | 3/28 [00:00<00:06,  3.76it/s]\n 14%|█▍        | 4/28 [00:01<00:06,  3.72it/s]\n 18%|█▊        | 5/28 [00:01<00:06,  3.70it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  3.70it/s]\n 25%|██▌       | 7/28 [00:01<00:05,  3.69it/s]\n 29%|██▊       | 8/28 [00:02<00:05,  3.69it/s]\n 32%|███▏      | 9/28 [00:02<00:05,  3.68it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  3.69it/s]\n 39%|███▉      | 11/28 [00:02<00:04,  3.69it/s]\n 43%|████▎     | 12/28 [00:03<00:04,  3.69it/s]\n 46%|████▋     | 13/28 [00:03<00:04,  3.68it/s]\n 50%|█████     | 14/28 [00:03<00:03,  3.69it/s]\n 54%|█████▎    | 15/28 [00:04<00:03,  3.69it/s]\n 57%|█████▋    | 16/28 [00:04<00:03,  3.69it/s]\n 61%|██████    | 17/28 [00:04<00:02,  3.68it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  3.69it/s]\n 68%|██████▊   | 19/28 [00:05<00:02,  3.69it/s]\n 71%|███████▏  | 20/28 [00:05<00:02,  3.69it/s]\n 75%|███████▌  | 21/28 [00:05<00:01,  3.68it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  3.68it/s]\n 82%|████████▏ | 23/28 [00:06<00:01,  3.68it/s]\n 86%|████████▌ | 24/28 [00:06<00:01,  3.68it/s]\n 89%|████████▉ | 25/28 [00:06<00:00,  3.68it/s]\n 93%|█████████▎| 26/28 [00:07<00:00,  3.68it/s]\n 96%|█████████▋| 27/28 [00:07<00:00,  3.69it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.68it/s]\n100%|██████████| 28/28 [00:07<00:00,  3.68it/s]",
  "output": [
    "https://replicate.delivery/yhqm/c20Va5UfdoxRdKew3vtBpNn34ljGFyU6vI1K931FOPGxn5TTA/out-0.webp"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-08-18T12:21:27.912Z",
  "started_at": "2024-08-18T12:23:57.643778Z",
  "completed_at": "2024-08-18T12:24:18.003416Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/p31m3avgx1rm60chcnqrcqrh50/cancel",
    "get": "https://api.replicate.com/v1/predictions/p31m3avgx1rm60chcnqrcqrh50",
    "web": "https://replicate.com/p/p31m3avgx1rm60chcnqrcqrh50"
  },
  "metrics": {
    "predict_time": 20.359637672,
    "total_time": 170.091416
  }
}

Generated in

20.4 seconds

Tweak it Report

Using seed: 50401 Prompt: photo of acs person with green eyes and brown hair, full height, realistic hands, strolling alone through Revolutionary Soviet Petrograd in 1920 during the winter, photorealistic analog film photography, lifelike ACS person features, photorealistic textured skin and clothing details, best quality dslr mirrorless camera professional photography, extremely detailed intricate historically-accurate background, indistinguishable from life, accurate anatomy, accurate fingers txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9592033103872 Downloading weights 2024-08-18T12:23:57Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/9ddbe3aab1e62bfa url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar 2024-08-18T12:23:59Z | INFO | [ Complete ] dest=/src/weights-cache/9ddbe3aab1e62bfa size="172 MB" total_elapsed=1.565s url=https://replicate.delivery/yhqm/qxdssHbNcibvPxpxAfAobaQNC3W30qL8ogUiRMjn3gCtX4pJA/trained_model.tar b'' Downloaded weights in 1.5929653644561768 seconds LoRA weights loaded successfully Token indices sequence length is longer than the specified maximum sequence length for this model (85 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['from life, accurate anatomy, accurate fingers'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.97it/s] 7%|▋ | 2/28 [00:00<00:06, 3.81it/s] 11%|█ | 3/28 [00:00<00:06, 3.76it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.72it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.70it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.70it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.69it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s] 50%|█████ | 14/28 [00:03<00:03, 3.69it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/s] 61%|██████ | 17/28 [00:04<00:02, 3.68it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.68it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.68it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.68it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.68it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s]