{
  "seed": 50891,
  "model": "dev",
  "prompt": "a girl taking selfie with the tesla optimus robot OPTIMAUSI",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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 gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
  {
    input: {
      seed: 50891,
      model: "dev",
      prompt: "a girl taking selfie with the tesla optimus robot OPTIMAUSI",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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

Import the client:

import replicate

Run gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    input={
        "seed": 50891,
        "model": "dev",
        "prompt": "a girl taking selfie with the tesla optimus robot OPTIMAUSI",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run gauravburande/flux-tesla-optimus-robot-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": "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    "input": {
      "seed": 50891,
      "model": "dev",
      "prompt": "a girl taking selfie with the tesla optimus robot OPTIMAUSI",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-15T14:56:22.622148Z",
  "created_at": "2024-10-15T14:56:05.826000Z",
  "data_removed": false,
  "error": null,
  "id": "tc79vketr9rm20cjj2ptppv1qg",
  "input": {
    "seed": 50891,
    "model": "dev",
    "prompt": "a girl taking selfie with the tesla optimus robot OPTIMAUSI",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 50891\nPrompt: a girl taking selfie with the tesla optimus robot OPTIMAUSI\n[!] txt2img mode\nUsing dev model\nfree=9034281246720\nDownloading weights\n2024-10-15T14:56:10Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpwhnc3hxo/weights url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar\n2024-10-15T14:56:12Z | INFO  | [ Complete ] dest=/tmp/tmpwhnc3hxo/weights size=\"172 MB\" total_elapsed=1.129s url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar\nDownloaded weights in 1.16s\nLoaded LoRAs in 1.74s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.22it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.06it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.99it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.95it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.93it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.91it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.90it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.90it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.89it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.89it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.89it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.89it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.89it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.89it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.89it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.88it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.88it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.88it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.88it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.88it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.88it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.88it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.88it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.88it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.88it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 11.736891618,
    "total_time": 16.796148
  },
  "output": [
    "https://replicate.delivery/yhqm/eyyukat9wAQ4IiT4ELrWz64Vf6Du9JUgEcEigZVbG1BWSDnTA/out-0.webp"
  ],
  "started_at": "2024-10-15T14:56:10.885257Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/tc79vketr9rm20cjj2ptppv1qg",
    "cancel": "https://api.replicate.com/v1/predictions/tc79vketr9rm20cjj2ptppv1qg/cancel"
  },
  "version": "762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062"
}

Generated in

11.7 seconds

Tweak it Iterate in playground ShareReport

Using seed: 50891
Prompt: a girl taking selfie with the tesla optimus robot OPTIMAUSI
[!] txt2img mode
Using dev model
free=9034281246720
Downloading weights
2024-10-15T14:56:10Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpwhnc3hxo/weights url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar
2024-10-15T14:56:12Z | INFO  | [ Complete ] dest=/tmp/tmpwhnc3hxo/weights size="172 MB" total_elapsed=1.129s url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar
Downloaded weights in 1.16s
Loaded LoRAs in 1.74s
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]
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Prediction

gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062

Model

gauravburande/flux-tesla-optimus-robot-lora:762b25bd

e5thcbs9n1rm60cjj2vr75717w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

22.1s

Created

10 months ago

Input

seed: 2845
model: dev
prompt: a photo of a guy taking selfie with the tesla optimus robot, with a group of people behind at night OPTIMAUSI
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "seed": 2845,
  "model": "dev",
  "prompt": "a photo of a guy taking selfie with the tesla optimus robot, with a group of people behind at night OPTIMAUSI",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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 gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
  {
    input: {
      seed: 2845,
      model: "dev",
      prompt: "a photo of a guy taking selfie with the tesla optimus robot, with a group of people behind at night OPTIMAUSI",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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

Import the client:

import replicate

Run gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    input={
        "seed": 2845,
        "model": "dev",
        "prompt": "a photo of a guy taking selfie with the tesla optimus robot, with a group of people behind at night OPTIMAUSI",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run gauravburande/flux-tesla-optimus-robot-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": "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    "input": {
      "seed": 2845,
      "model": "dev",
      "prompt": "a photo of a guy taking selfie with the tesla optimus robot, with a group of people behind at night OPTIMAUSI",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-15T15:06:37.898609Z",
  "created_at": "2024-10-15T15:06:15.848000Z",
  "data_removed": false,
  "error": null,
  "id": "e5thcbs9n1rm60cjj2vr75717w",
  "input": {
    "seed": 2845,
    "model": "dev",
    "prompt": "a photo of a guy taking selfie with the tesla optimus robot, with a group of people behind at night OPTIMAUSI",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 2845\nPrompt: a photo of a guy taking selfie with the tesla optimus robot, with a group of people behind at night OPTIMAUSI\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.69s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.89it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.22it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.06it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.99it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.95it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.93it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.92it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.91it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.90it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.90it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.89it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.89it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.89it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.89it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.89it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.89it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.89it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.89it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.89it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.89it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.89it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.89it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.89it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.89it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.89it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.89it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.91it/s]",
  "metrics": {
    "predict_time": 10.66316128,
    "total_time": 22.050609
  },
  "output": [
    "https://replicate.delivery/yhqm/m7pGS0MIqeQYFS9ApEHj072FHeKfommreUT7iWtsEq50vNcOB/out-0.webp"
  ],
  "started_at": "2024-10-15T15:06:27.235448Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/e5thcbs9n1rm60cjj2vr75717w",
    "cancel": "https://api.replicate.com/v1/predictions/e5thcbs9n1rm60cjj2vr75717w/cancel"
  },
  "version": "762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062"
}

Generated in

10.7 seconds

Tweak it Iterate in playground ShareReport

Prediction

gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062

Model

gauravburande/flux-tesla-optimus-robot-lora:762b25bd

55ga9p5eznrm20cjj2zbcnh7e8

Status

Succeeded

Source

Web

Hardware

H100

Total duration

27.0s

Created

10 months ago

Input

seed: 18745
model: dev
prompt: a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "seed": 18745,
  "model": "dev",
  "prompt": "a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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 gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
  {
    input: {
      seed: 18745,
      model: "dev",
      prompt: "a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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

Import the client:

import replicate

Run gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    input={
        "seed": 18745,
        "model": "dev",
        "prompt": "a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run gauravburande/flux-tesla-optimus-robot-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": "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    "input": {
      "seed": 18745,
      "model": "dev",
      "prompt": "a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-15T15:14:55.710855Z",
  "created_at": "2024-10-15T15:14:28.733000Z",
  "data_removed": false,
  "error": null,
  "id": "55ga9p5eznrm20cjj2zbcnh7e8",
  "input": {
    "seed": 18745,
    "model": "dev",
    "prompt": "a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 18745\nPrompt: a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI\n[!] txt2img mode\nUsing dev model\nfree=6626260652032\nDownloading weights\n2024-10-15T15:14:43Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpj9phx_65/weights url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar\n2024-10-15T15:14:45Z | INFO  | [ Complete ] dest=/tmp/tmpj9phx_65/weights size=\"172 MB\" total_elapsed=1.491s url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar\nDownloaded weights in 1.52s\nLoaded LoRAs in 2.14s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.05it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.98it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.94it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.92it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.90it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.89it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.89it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.88it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.88it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.88it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.88it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.88it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.88it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.87it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.87it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.87it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.87it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.87it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.87it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.87it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.87it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.87it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.87it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.87it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.87it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.87it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.89it/s]",
  "metrics": {
    "predict_time": 12.163260267,
    "total_time": 26.977855
  },
  "output": [
    "https://replicate.delivery/yhqm/PuxICdvaXTKEAd4MCRIcjOwTfds9Q7teimcSckyYq93vjDnTA/out-0.webp"
  ],
  "started_at": "2024-10-15T15:14:43.547594Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/55ga9p5eznrm20cjj2zbcnh7e8",
    "cancel": "https://api.replicate.com/v1/predictions/55ga9p5eznrm20cjj2zbcnh7e8/cancel"
  },
  "version": "762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062"
}

Generated in

12.2 seconds

Tweak it Iterate in playground ShareReport

Using seed: 18745
Prompt: a photo of tesla optimus robot driving a car with a family inside OPTIMAUSI
[!] txt2img mode
Using dev model
free=6626260652032
Downloading weights
2024-10-15T15:14:43Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpj9phx_65/weights url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar
2024-10-15T15:14:45Z | INFO  | [ Complete ] dest=/tmp/tmpj9phx_65/weights size="172 MB" total_elapsed=1.491s url=https://replicate.delivery/yhqm/vBfJetq5e3A3Vp2kHYrliMs26zce0afnAaLVLJmpfis5nrw5E/trained_model.tar
Downloaded weights in 1.52s
Loaded LoRAs in 2.14s
  0%|          | 0/28 [00:00<?, ?it/s]
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Prediction

gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062

Model

gauravburande/flux-tesla-optimus-robot-lora:762b25bd

z6ck8e6fn1rm00cjj2wazqvesg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

22.6s

Created

10 months ago

Input

seed: 52829
model: dev
prompt: a photo of tesla optimus robot standing at taj mahal OPTIMAUSI
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "seed": 52829,
  "model": "dev",
  "prompt": "a photo of tesla optimus robot standing at taj mahal OPTIMAUSI",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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 gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
  {
    input: {
      seed: 52829,
      model: "dev",
      prompt: "a photo of tesla optimus robot standing at taj mahal OPTIMAUSI",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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

Import the client:

import replicate

Run gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    input={
        "seed": 52829,
        "model": "dev",
        "prompt": "a photo of tesla optimus robot standing at taj mahal OPTIMAUSI",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run gauravburande/flux-tesla-optimus-robot-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": "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    "input": {
      "seed": 52829,
      "model": "dev",
      "prompt": "a photo of tesla optimus robot standing at taj mahal OPTIMAUSI",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-15T15:08:26.468216Z",
  "created_at": "2024-10-15T15:08:03.880000Z",
  "data_removed": false,
  "error": null,
  "id": "z6ck8e6fn1rm00cjj2wazqvesg",
  "input": {
    "seed": 52829,
    "model": "dev",
    "prompt": "a photo of tesla optimus robot standing at taj mahal OPTIMAUSI",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 52829\nPrompt: a photo of tesla optimus robot standing at taj mahal OPTIMAUSI\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.58s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.05it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.98it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.94it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.92it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.90it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.89it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.89it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.88it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.88it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.88it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.88it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.88it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.88it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.88it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.87it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.87it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.88it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.88it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.87it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.87it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.87it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.88it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.88it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.87it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.87it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.87it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.89it/s]",
  "metrics": {
    "predict_time": 10.608164635,
    "total_time": 22.588216
  },
  "output": [
    "https://replicate.delivery/yhqm/efyXNO5Rvxqf5omXfIXfVTgfjRl0CBezZ9QGkdmXKDMK1uhzJA/out-0.webp"
  ],
  "started_at": "2024-10-15T15:08:15.860051Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/z6ck8e6fn1rm00cjj2wazqvesg",
    "cancel": "https://api.replicate.com/v1/predictions/z6ck8e6fn1rm00cjj2wazqvesg/cancel"
  },
  "version": "762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062"
}

Generated in

10.6 seconds

Tweak it Iterate in playground ShareReport

Prediction

gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062

Model

gauravburande/flux-tesla-optimus-robot-lora:762b25bd

y2sbx8x3fnrm40cjj2yvvnkwzg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

23.9s

Created

10 months ago

Input

seed: 17890
model: dev
prompt: a photo of tesla optimus robot doing cleaning at home OPTIMAUSI
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "seed": 17890,
  "model": "dev",
  "prompt": "a photo of tesla optimus robot doing cleaning at home OPTIMAUSI",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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 gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
  {
    input: {
      seed: 17890,
      model: "dev",
      prompt: "a photo of tesla optimus robot doing cleaning at home OPTIMAUSI",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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

Import the client:

import replicate

Run gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    input={
        "seed": 17890,
        "model": "dev",
        "prompt": "a photo of tesla optimus robot doing cleaning at home OPTIMAUSI",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run gauravburande/flux-tesla-optimus-robot-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": "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    "input": {
      "seed": 17890,
      "model": "dev",
      "prompt": "a photo of tesla optimus robot doing cleaning at home OPTIMAUSI",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-15T15:13:44.134633Z",
  "created_at": "2024-10-15T15:13:20.253000Z",
  "data_removed": false,
  "error": null,
  "id": "y2sbx8x3fnrm40cjj2yvvnkwzg",
  "input": {
    "seed": 17890,
    "model": "dev",
    "prompt": "a photo of tesla optimus robot doing cleaning at home OPTIMAUSI",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 17890\nPrompt: a photo of tesla optimus robot doing cleaning at home OPTIMAUSI\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.58s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.89it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.22it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.06it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.99it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.95it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.93it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.91it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.90it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.90it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.90it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.89it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.89it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.89it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.89it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.89it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.89it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.89it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.89it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.89it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.89it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.89it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.89it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.89it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.89it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.89it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.89it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.89it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 10.552976531,
    "total_time": 23.881633
  },
  "output": [
    "https://replicate.delivery/yhqm/lAs1wTNBZEolE1bc5zVSURA3Tz8ZZnjKjco6vrUW6REq4w5E/out-0.webp"
  ],
  "started_at": "2024-10-15T15:13:33.581657Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/y2sbx8x3fnrm40cjj2yvvnkwzg",
    "cancel": "https://api.replicate.com/v1/predictions/y2sbx8x3fnrm40cjj2yvvnkwzg/cancel"
  },
  "version": "762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062"
}

Generated in

10.6 seconds

Tweak it Iterate in playground ShareReport

Prediction

gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062

Model

gauravburande/flux-tesla-optimus-robot-lora:762b25bd

qz725a96wxrm00cjj30ah9f730

Status

Succeeded

Source

Web

Hardware

H100

Total duration

20.3s

Created

10 months ago

Input

seed: 14587
model: dev
prompt: a photo of tesla optimus robot cooking in a kitchen OPTIMAUSI
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "seed": 14587,
  "model": "dev",
  "prompt": "a photo of tesla optimus robot cooking in a kitchen OPTIMAUSI",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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 gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
  {
    input: {
      seed: 14587,
      model: "dev",
      prompt: "a photo of tesla optimus robot cooking in a kitchen OPTIMAUSI",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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

Import the client:

import replicate

Run gauravburande/flux-tesla-optimus-robot-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    input={
        "seed": 14587,
        "model": "dev",
        "prompt": "a photo of tesla optimus robot cooking in a kitchen OPTIMAUSI",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run gauravburande/flux-tesla-optimus-robot-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": "gauravburande/flux-tesla-optimus-robot-lora:762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062",
    "input": {
      "seed": 14587,
      "model": "dev",
      "prompt": "a photo of tesla optimus robot cooking in a kitchen OPTIMAUSI",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-15T15:16:25.262523Z",
  "created_at": "2024-10-15T15:16:04.967000Z",
  "data_removed": false,
  "error": null,
  "id": "qz725a96wxrm00cjj30ah9f730",
  "input": {
    "seed": 14587,
    "model": "dev",
    "prompt": "a photo of tesla optimus robot cooking in a kitchen OPTIMAUSI",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 14587\nPrompt: a photo of tesla optimus robot cooking in a kitchen OPTIMAUSI\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.72s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:09,  2.88it/s]\n  7%|▋         | 2/28 [00:00<00:08,  3.21it/s]\n 11%|█         | 3/28 [00:00<00:08,  3.05it/s]\n 14%|█▍        | 4/28 [00:01<00:08,  2.98it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  2.95it/s]\n 21%|██▏       | 6/28 [00:02<00:07,  2.93it/s]\n 25%|██▌       | 7/28 [00:02<00:07,  2.91it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  2.90it/s]\n 32%|███▏      | 9/28 [00:03<00:06,  2.90it/s]\n 36%|███▌      | 10/28 [00:03<00:06,  2.89it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  2.89it/s]\n 43%|████▎     | 12/28 [00:04<00:05,  2.89it/s]\n 46%|████▋     | 13/28 [00:04<00:05,  2.89it/s]\n 50%|█████     | 14/28 [00:04<00:04,  2.89it/s]\n 54%|█████▎    | 15/28 [00:05<00:04,  2.89it/s]\n 57%|█████▋    | 16/28 [00:05<00:04,  2.89it/s]\n 61%|██████    | 17/28 [00:05<00:03,  2.89it/s]\n 64%|██████▍   | 18/28 [00:06<00:03,  2.89it/s]\n 68%|██████▊   | 19/28 [00:06<00:03,  2.89it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  2.89it/s]\n 75%|███████▌  | 21/28 [00:07<00:02,  2.89it/s]\n 79%|███████▊  | 22/28 [00:07<00:02,  2.89it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  2.89it/s]\n 86%|████████▌ | 24/28 [00:08<00:01,  2.89it/s]\n 89%|████████▉ | 25/28 [00:08<00:01,  2.89it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  2.89it/s]\n 96%|█████████▋| 27/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.88it/s]\n100%|██████████| 28/28 [00:09<00:00,  2.90it/s]",
  "metrics": {
    "predict_time": 10.711720742,
    "total_time": 20.295523
  },
  "output": [
    "https://replicate.delivery/yhqm/V4CwaKEXqM7kD9G1f1ftutYpnbxOSUa4VEExkJqCs03JlDnTA/out-0.webp"
  ],
  "started_at": "2024-10-15T15:16:14.550802Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qz725a96wxrm00cjj30ah9f730",
    "cancel": "https://api.replicate.com/v1/predictions/qz725a96wxrm00cjj30ah9f730/cancel"
  },
  "version": "762b25bd20ce22923c31a2ec20ec633f89175a53fd94de201077f8887052b062"
}

Generated in

10.7 seconds

Tweak it Iterate in playground ShareReport

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