Prediction

Model

cloneofsimo/openjourney_v2_lora:3ef282dc

xcskuivnwrf23khjzfqojouaqi

Status

Succeeded

Source

Web

Hardware

–

Total duration

11.9s

Created

almost 3 years ago by cloneofsimo

Webhook

–

Input

prompt: picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality
negative_prompt: mustache, multiple people, poorly drawn face, poorly drawn hands, blurry, mutated
width: 512
height: 512
num_outputs: 1
num_inference_steps: 50
guidance_scale: 4.5
prompt_strength: 0.8
scheduler: DPMSolverMultistep
lora_urls: https://storage.googleapis.com/replicant-misc/lora/lora_krk.safetensors
lora_scales: 0.7
seed: 2
adapter_condition_image: https://replicate.delivery/pbxt/IOp6udarBgwPXVKnCY3JLDdQWAQKaCHCnvr01kMvULZ4vyRF/keypose_0%20copy%20-%20Copy.png
adapter_type: keypose

{
  "adapter_condition_image": "https://replicate.delivery/pbxt/IOp6udarBgwPXVKnCY3JLDdQWAQKaCHCnvr01kMvULZ4vyRF/keypose_0%20copy%20-%20Copy.png",
  "adapter_type": "keypose",
  "guidance_scale": "4.5",
  "height": 512,
  "lora_scales": "0.7",
  "lora_urls": "https://storage.googleapis.com/replicant-misc/lora/lora_krk.safetensors",
  "negative_prompt": "mustache, multiple people, poorly drawn face, poorly drawn hands, blurry, mutated",
  "num_inference_steps": 50,
  "num_outputs": 1,
  "prompt": "picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality",
  "prompt_strength": 0.8,
  "scheduler": "DPMSolverMultistep",
  "seed": 2,
  "width": 512
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_LDi**********************************

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 cloneofsimo/openjourney_v2_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cloneofsimo/openjourney_v2_lora:3ef282dcbb980bf86a8144a3f089ee132c8cf5aacef93fc5041ec5d61c5110e2",
  {
    input: {
      adapter_condition_image: "https://replicate.delivery/pbxt/IOp6udarBgwPXVKnCY3JLDdQWAQKaCHCnvr01kMvULZ4vyRF/keypose_0%20copy%20-%20Copy.png",
      adapter_type: "keypose",
      guidance_scale: "4.5",
      height: 512,
      lora_scales: "0.7",
      lora_urls: "https://storage.googleapis.com/replicant-misc/lora/lora_krk.safetensors",
      negative_prompt: "mustache, multiple people, poorly drawn face, poorly drawn hands, blurry, mutated",
      num_inference_steps: 50,
      num_outputs: 1,
      prompt: "picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality",
      prompt_strength: 0.8,
      scheduler: "DPMSolverMultistep",
      seed: 2,
      width: 512
    }
  }
);

// 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_LDi**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run cloneofsimo/openjourney_v2_lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cloneofsimo/openjourney_v2_lora:3ef282dcbb980bf86a8144a3f089ee132c8cf5aacef93fc5041ec5d61c5110e2",
    input={
        "adapter_condition_image": "https://replicate.delivery/pbxt/IOp6udarBgwPXVKnCY3JLDdQWAQKaCHCnvr01kMvULZ4vyRF/keypose_0%20copy%20-%20Copy.png",
        "adapter_type": "keypose",
        "guidance_scale": "4.5",
        "height": 512,
        "lora_scales": "0.7",
        "lora_urls": "https://storage.googleapis.com/replicant-misc/lora/lora_krk.safetensors",
        "negative_prompt": "mustache, multiple people, poorly drawn face, poorly drawn hands, blurry, mutated",
        "num_inference_steps": 50,
        "num_outputs": 1,
        "prompt": "picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality",
        "prompt_strength": 0.8,
        "scheduler": "DPMSolverMultistep",
        "seed": 2,
        "width": 512
    }
)

# 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_LDi**********************************

This is your API token. Keep it to yourself.

Run cloneofsimo/openjourney_v2_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": "cloneofsimo/openjourney_v2_lora:3ef282dcbb980bf86a8144a3f089ee132c8cf5aacef93fc5041ec5d61c5110e2",
    "input": {
      "adapter_condition_image": "https://replicate.delivery/pbxt/IOp6udarBgwPXVKnCY3JLDdQWAQKaCHCnvr01kMvULZ4vyRF/keypose_0%20copy%20-%20Copy.png",
      "adapter_type": "keypose",
      "guidance_scale": "4.5",
      "height": 512,
      "lora_scales": "0.7",
      "lora_urls": "https://storage.googleapis.com/replicant-misc/lora/lora_krk.safetensors",
      "negative_prompt": "mustache, multiple people, poorly drawn face, poorly drawn hands, blurry, mutated",
      "num_inference_steps": 50,
      "num_outputs": 1,
      "prompt": "picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality",
      "prompt_strength": 0.8,
      "scheduler": "DPMSolverMultistep",
      "seed": 2,
      "width": 512
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "xcskuivnwrf23khjzfqojouaqi",
  "model": "cloneofsimo/openjourney_v2_lora",
  "version": "3ef282dcbb980bf86a8144a3f089ee132c8cf5aacef93fc5041ec5d61c5110e2",
  "input": {
    "adapter_condition_image": "https://replicate.delivery/pbxt/IOp6udarBgwPXVKnCY3JLDdQWAQKaCHCnvr01kMvULZ4vyRF/keypose_0%20copy%20-%20Copy.png",
    "adapter_type": "keypose",
    "guidance_scale": "4.5",
    "height": 512,
    "lora_scales": "0.7",
    "lora_urls": "https://storage.googleapis.com/replicant-misc/lora/lora_krk.safetensors",
    "negative_prompt": "mustache, multiple people, poorly drawn face, poorly drawn hands, blurry, mutated",
    "num_inference_steps": 50,
    "num_outputs": 1,
    "prompt": "picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality",
    "prompt_strength": 0.8,
    "scheduler": "DPMSolverMultistep",
    "seed": 2,
    "width": 512
  },
  "logs": "Using seed: 2\nGenerating image of 512 x 512 with prompt: picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality\nThe requested LoRAs are loaded.\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:13,  3.53it/s]\n  4%|▍         | 2/50 [00:00<00:11,  4.26it/s]\n  6%|▌         | 3/50 [00:00<00:10,  4.55it/s]\n  8%|▊         | 4/50 [00:00<00:09,  4.70it/s]\n 10%|█         | 5/50 [00:01<00:09,  4.78it/s]\n 12%|█▏        | 6/50 [00:01<00:09,  4.81it/s]\n 14%|█▍        | 7/50 [00:01<00:08,  4.85it/s]\n 16%|█▌        | 8/50 [00:01<00:08,  4.88it/s]\n 18%|█▊        | 9/50 [00:01<00:08,  4.90it/s]\n 20%|██        | 10/50 [00:02<00:08,  4.91it/s]\n 22%|██▏       | 11/50 [00:02<00:07,  4.91it/s]\n 24%|██▍       | 12/50 [00:02<00:07,  4.91it/s]\n 26%|██▌       | 13/50 [00:02<00:07,  4.93it/s]\n 28%|██▊       | 14/50 [00:02<00:07,  4.92it/s]\n 30%|███       | 15/50 [00:03<00:07,  4.92it/s]\n 32%|███▏      | 16/50 [00:03<00:06,  4.92it/s]\n 34%|███▍      | 17/50 [00:03<00:06,  4.92it/s]\n 36%|███▌      | 18/50 [00:03<00:06,  4.92it/s]\n 38%|███▊      | 19/50 [00:03<00:06,  4.93it/s]\n 40%|████      | 20/50 [00:04<00:06,  4.93it/s]\n 42%|████▏     | 21/50 [00:04<00:05,  4.93it/s]\n 44%|████▍     | 22/50 [00:04<00:05,  4.91it/s]\n 46%|████▌     | 23/50 [00:04<00:05,  4.92it/s]\n 48%|████▊     | 24/50 [00:04<00:05,  4.93it/s]\n 50%|█████     | 25/50 [00:05<00:05,  4.93it/s]\n 52%|█████▏    | 26/50 [00:05<00:04,  4.94it/s]\n 54%|█████▍    | 27/50 [00:05<00:04,  4.94it/s]\n 56%|█████▌    | 28/50 [00:05<00:04,  4.94it/s]\n 58%|█████▊    | 29/50 [00:05<00:04,  4.94it/s]\n 60%|██████    | 30/50 [00:06<00:04,  4.94it/s]\n 62%|██████▏   | 31/50 [00:06<00:03,  4.94it/s]\n 64%|██████▍   | 32/50 [00:06<00:03,  4.92it/s]\n 66%|██████▌   | 33/50 [00:06<00:03,  4.94it/s]\n 68%|██████▊   | 34/50 [00:06<00:03,  4.93it/s]\n 70%|███████   | 35/50 [00:07<00:03,  4.93it/s]\n 72%|███████▏  | 36/50 [00:07<00:02,  4.94it/s]\n 74%|███████▍  | 37/50 [00:07<00:02,  4.93it/s]\n 76%|███████▌  | 38/50 [00:07<00:02,  4.93it/s]\n 78%|███████▊  | 39/50 [00:07<00:02,  4.93it/s]\n 80%|████████  | 40/50 [00:08<00:02,  4.93it/s]\n 82%|████████▏ | 41/50 [00:08<00:01,  4.93it/s]\n 84%|████████▍ | 42/50 [00:08<00:01,  4.93it/s]\n 86%|████████▌ | 43/50 [00:08<00:01,  4.92it/s]\n 88%|████████▊ | 44/50 [00:09<00:01,  4.93it/s]\n 90%|█████████ | 45/50 [00:09<00:01,  4.94it/s]\n 92%|█████████▏| 46/50 [00:09<00:00,  4.94it/s]\n 94%|█████████▍| 47/50 [00:09<00:00,  4.93it/s]\n 96%|█████████▌| 48/50 [00:09<00:00,  4.92it/s]\n 98%|█████████▊| 49/50 [00:10<00:00,  4.93it/s]\n100%|██████████| 50/50 [00:10<00:00,  4.94it/s]\n100%|██████████| 50/50 [00:10<00:00,  4.89it/s]",
  "output": [
    "https://replicate.delivery/pbxt/cicJMsQhUBaBJJUcRo0kfNEfZl55p7EVnEFUAl08wPegAmGhA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-03-01T16:32:05.758106Z",
  "started_at": "2023-03-01T16:32:05.845997Z",
  "completed_at": "2023-03-01T16:32:17.608952Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/xcskuivnwrf23khjzfqojouaqi/cancel",
    "get": "https://api.replicate.com/v1/predictions/xcskuivnwrf23khjzfqojouaqi"
  },
  "metrics": {
    "predict_time": 11.762955,
    "total_time": 11.850846
  }
}

Generated in

11.8 seconds

Tweak it Report

Using seed: 2 Generating image of 512 x 512 with prompt: picture of <1>, futuristic indigo armor, highly detailed face, ornate details, gems, high quality The requested LoRAs are loaded. 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.53it/s] 4%|▍ | 2/50 [00:00<00:11, 4.26it/s] 6%|▌ | 3/50 [00:00<00:10, 4.55it/s] 8%|▊ | 4/50 [00:00<00:09, 4.70it/s] 10%|█ | 5/50 [00:01<00:09, 4.78it/s] 12%|█▏ | 6/50 [00:01<00:09, 4.81it/s] 14%|█▍ | 7/50 [00:01<00:08, 4.85it/s] 16%|█▌ | 8/50 [00:01<00:08, 4.88it/s] 18%|█▊ | 9/50 [00:01<00:08, 4.90it/s] 20%|██ | 10/50 [00:02<00:08, 4.91it/s] 22%|██▏ | 11/50 [00:02<00:07, 4.91it/s] 24%|██▍ | 12/50 [00:02<00:07, 4.91it/s] 26%|██▌ | 13/50 [00:02<00:07, 4.93it/s] 28%|██▊ | 14/50 [00:02<00:07, 4.92it/s] 30%|███ | 15/50 [00:03<00:07, 4.92it/s] 32%|███▏ | 16/50 [00:03<00:06, 4.92it/s] 34%|███▍ | 17/50 [00:03<00:06, 4.92it/s] 36%|███▌ | 18/50 [00:03<00:06, 4.92it/s] 38%|███▊ | 19/50 [00:03<00:06, 4.93it/s] 40%|████ | 20/50 [00:04<00:06, 4.93it/s] 42%|████▏ | 21/50 [00:04<00:05, 4.93it/s] 44%|████▍ | 22/50 [00:04<00:05, 4.91it/s] 46%|████▌ | 23/50 [00:04<00:05, 4.92it/s] 48%|████▊ | 24/50 [00:04<00:05, 4.93it/s] 50%|█████ | 25/50 [00:05<00:05, 4.93it/s] 52%|█████▏ | 26/50 [00:05<00:04, 4.94it/s] 54%|█████▍ | 27/50 [00:05<00:04, 4.94it/s] 56%|█████▌ | 28/50 [00:05<00:04, 4.94it/s] 58%|█████▊ | 29/50 [00:05<00:04, 4.94it/s] 60%|██████ | 30/50 [00:06<00:04, 4.94it/s] 62%|██████▏ | 31/50 [00:06<00:03, 4.94it/s] 64%|██████▍ | 32/50 [00:06<00:03, 4.92it/s] 66%|██████▌ | 33/50 [00:06<00:03, 4.94it/s] 68%|██████▊ | 34/50 [00:06<00:03, 4.93it/s] 70%|███████ | 35/50 [00:07<00:03, 4.93it/s] 72%|███████▏ | 36/50 [00:07<00:02, 4.94it/s] 74%|███████▍ | 37/50 [00:07<00:02, 4.93it/s] 76%|███████▌ | 38/50 [00:07<00:02, 4.93it/s] 78%|███████▊ | 39/50 [00:07<00:02, 4.93it/s] 80%|████████ | 40/50 [00:08<00:02, 4.93it/s] 82%|████████▏ | 41/50 [00:08<00:01, 4.93it/s] 84%|████████▍ | 42/50 [00:08<00:01, 4.93it/s] 86%|████████▌ | 43/50 [00:08<00:01, 4.92it/s] 88%|████████▊ | 44/50 [00:09<00:01, 4.93it/s] 90%|█████████ | 45/50 [00:09<00:01, 4.94it/s] 92%|█████████▏| 46/50 [00:09<00:00, 4.94it/s] 94%|█████████▍| 47/50 [00:09<00:00, 4.93it/s] 96%|█████████▌| 48/50 [00:09<00:00, 4.92it/s] 98%|█████████▊| 49/50 [00:10<00:00, 4.93it/s] 100%|██████████| 50/50 [00:10<00:00, 4.94it/s] 100%|██████████| 50/50 [00:10<00:00, 4.89it/s]