Prediction

Model

fermatresearch/open-dalle-1.1-lora:2ade2cbf

u5kh73dbqtr4nezjiga4rdw7ri

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

13.3s

Created

almost 2 years ago

Webhook

–

Input

prompt: shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography
negative_prompt: ugly, bad quality, nsfw
width: 1024
height: 1024
num_outputs: 1
scheduler: K_EULER
num_inference_steps: 35
guidance_scale: 7.5
prompt_strength: 0.8
seed: 54321
refine: no_refiner
high_noise_frac: 0.8
apply_watermark: false
lora_scale: 0.65
lora_weights: https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar

{
  "apply_watermark": false,
  "guidance_scale": 7.5,
  "height": 1024,
  "high_noise_frac": 0.8,
  "lora_scale": 0.65,
  "lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
  "negative_prompt": "ugly, bad quality, nsfw",
  "num_inference_steps": 35,
  "num_outputs": 1,
  "prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
  "prompt_strength": 0.8,
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "seed": 54321,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_VZe**********************************

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 fermatresearch/open-dalle-1.1-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fermatresearch/open-dalle-1.1-lora:2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
  {
    input: {
      apply_watermark: false,
      guidance_scale: 7.5,
      height: 1024,
      high_noise_frac: 0.8,
      lora_scale: 0.65,
      lora_weights: "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
      negative_prompt: "ugly, bad quality, nsfw",
      num_inference_steps: 35,
      num_outputs: 1,
      prompt: "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
      prompt_strength: 0.8,
      refine: "no_refiner",
      scheduler: "K_EULER",
      seed: 54321,
      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_VZe**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run fermatresearch/open-dalle-1.1-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fermatresearch/open-dalle-1.1-lora:2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
    input={
        "apply_watermark": False,
        "guidance_scale": 7.5,
        "height": 1024,
        "high_noise_frac": 0.8,
        "lora_scale": 0.65,
        "lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
        "negative_prompt": "ugly, bad quality, nsfw",
        "num_inference_steps": 35,
        "num_outputs": 1,
        "prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
        "prompt_strength": 0.8,
        "refine": "no_refiner",
        "scheduler": "K_EULER",
        "seed": 54321,
        "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_VZe**********************************

This is your API token. Keep it to yourself.

Run fermatresearch/open-dalle-1.1-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": "fermatresearch/open-dalle-1.1-lora:2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
    "input": {
      "apply_watermark": false,
      "guidance_scale": 7.5,
      "height": 1024,
      "high_noise_frac": 0.8,
      "lora_scale": 0.65,
      "lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
      "negative_prompt": "ugly, bad quality, nsfw",
      "num_inference_steps": 35,
      "num_outputs": 1,
      "prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
      "prompt_strength": 0.8,
      "refine": "no_refiner",
      "scheduler": "K_EULER",
      "seed": 54321,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "u5kh73dbqtr4nezjiga4rdw7ri",
  "model": "fermatresearch/open-dalle-1.1-lora",
  "version": "2ade2cbfc88298b98366a6e361559e11666c17ed415d341c9ae776b30a61b196",
  "input": {
    "apply_watermark": false,
    "guidance_scale": 7.5,
    "height": 1024,
    "high_noise_frac": 0.8,
    "lora_scale": 0.65,
    "lora_weights": "https://replicate.delivery/pbxt/hM1H6f93HCVYQq471gZz6EYtRHPMJYAsyxeQXdGnozeDJKOkA/trained_model.tar",
    "negative_prompt": "ugly, bad quality, nsfw",
    "num_inference_steps": 35,
    "num_outputs": 1,
    "prompt": "shot in the style of sksfer, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography",
    "prompt_strength": 0.8,
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "seed": 54321,
    "width": 1024
  },
  "logs": "Using seed: 54321\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: shot in the style of <s0><s1>, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography\ntxt2img mode\n  0%|          | 0/35 [00:00<?, ?it/s]\n  3%|▎         | 1/35 [00:00<00:09,  3.67it/s]\n  6%|▌         | 2/35 [00:00<00:09,  3.66it/s]\n  9%|▊         | 3/35 [00:00<00:08,  3.65it/s]\n 11%|█▏        | 4/35 [00:01<00:08,  3.65it/s]\n 14%|█▍        | 5/35 [00:01<00:08,  3.64it/s]\n 17%|█▋        | 6/35 [00:01<00:07,  3.63it/s]\n 20%|██        | 7/35 [00:01<00:07,  3.63it/s]\n 23%|██▎       | 8/35 [00:02<00:07,  3.63it/s]\n 26%|██▌       | 9/35 [00:02<00:07,  3.63it/s]\n 29%|██▊       | 10/35 [00:02<00:06,  3.63it/s]\n 31%|███▏      | 11/35 [00:03<00:06,  3.63it/s]\n 34%|███▍      | 12/35 [00:03<00:06,  3.63it/s]\n 37%|███▋      | 13/35 [00:03<00:06,  3.63it/s]\n 40%|████      | 14/35 [00:03<00:05,  3.63it/s]\n 43%|████▎     | 15/35 [00:04<00:05,  3.63it/s]\n 46%|████▌     | 16/35 [00:04<00:05,  3.62it/s]\n 49%|████▊     | 17/35 [00:04<00:04,  3.62it/s]\n 51%|█████▏    | 18/35 [00:04<00:04,  3.62it/s]\n 54%|█████▍    | 19/35 [00:05<00:04,  3.62it/s]\n 57%|█████▋    | 20/35 [00:05<00:04,  3.62it/s]\n 60%|██████    | 21/35 [00:05<00:03,  3.62it/s]\n 63%|██████▎   | 22/35 [00:06<00:03,  3.62it/s]\n 66%|██████▌   | 23/35 [00:06<00:03,  3.62it/s]\n 69%|██████▊   | 24/35 [00:06<00:03,  3.62it/s]\n 71%|███████▏  | 25/35 [00:06<00:02,  3.62it/s]\n 74%|███████▍  | 26/35 [00:07<00:02,  3.62it/s]\n 77%|███████▋  | 27/35 [00:07<00:02,  3.62it/s]\n 80%|████████  | 28/35 [00:07<00:01,  3.62it/s]\n 83%|████████▎ | 29/35 [00:07<00:01,  3.62it/s]\n 86%|████████▌ | 30/35 [00:08<00:01,  3.62it/s]\n 89%|████████▊ | 31/35 [00:08<00:01,  3.62it/s]\n 91%|█████████▏| 32/35 [00:08<00:00,  3.62it/s]\n 94%|█████████▍| 33/35 [00:09<00:00,  3.62it/s]\n 97%|█████████▋| 34/35 [00:09<00:00,  3.62it/s]\n100%|██████████| 35/35 [00:09<00:00,  3.62it/s]\n100%|██████████| 35/35 [00:09<00:00,  3.62it/s]",
  "output": [
    "https://replicate.delivery/pbxt/yh0AaQWOrfS1Ua9oGIXeu6JfmSSB07xwfMkkaq374aWXuqcIB/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-12-29T16:50:33.073425Z",
  "started_at": "2023-12-29T16:50:33.111129Z",
  "completed_at": "2023-12-29T16:50:46.416955Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/u5kh73dbqtr4nezjiga4rdw7ri/cancel",
    "get": "https://api.replicate.com/v1/predictions/u5kh73dbqtr4nezjiga4rdw7ri"
  },
  "metrics": {
    "predict_time": 13.305826,
    "total_time": 13.34353
  }
}

Generated in

13.3 seconds

Tweak it Report

Using seed: 54321 Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: shot in the style of <s0><s1>, close up of a young woman in alaska, beautiful white hair, with a wolf necklace with a green gem in it, extreme detail and texture, professional photography txt2img mode 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:09, 3.67it/s] 6%|▌ | 2/35 [00:00<00:09, 3.66it/s] 9%|▊ | 3/35 [00:00<00:08, 3.65it/s] 11%|█▏ | 4/35 [00:01<00:08, 3.65it/s] 14%|█▍ | 5/35 [00:01<00:08, 3.64it/s] 17%|█▋ | 6/35 [00:01<00:07, 3.63it/s] 20%|██ | 7/35 [00:01<00:07, 3.63it/s] 23%|██▎ | 8/35 [00:02<00:07, 3.63it/s] 26%|██▌ | 9/35 [00:02<00:07, 3.63it/s] 29%|██▊ | 10/35 [00:02<00:06, 3.63it/s] 31%|███▏ | 11/35 [00:03<00:06, 3.63it/s] 34%|███▍ | 12/35 [00:03<00:06, 3.63it/s] 37%|███▋ | 13/35 [00:03<00:06, 3.63it/s] 40%|████ | 14/35 [00:03<00:05, 3.63it/s] 43%|████▎ | 15/35 [00:04<00:05, 3.63it/s] 46%|████▌ | 16/35 [00:04<00:05, 3.62it/s] 49%|████▊ | 17/35 [00:04<00:04, 3.62it/s] 51%|█████▏ | 18/35 [00:04<00:04, 3.62it/s] 54%|█████▍ | 19/35 [00:05<00:04, 3.62it/s] 57%|█████▋ | 20/35 [00:05<00:04, 3.62it/s] 60%|██████ | 21/35 [00:05<00:03, 3.62it/s] 63%|██████▎ | 22/35 [00:06<00:03, 3.62it/s] 66%|██████▌ | 23/35 [00:06<00:03, 3.62it/s] 69%|██████▊ | 24/35 [00:06<00:03, 3.62it/s] 71%|███████▏ | 25/35 [00:06<00:02, 3.62it/s] 74%|███████▍ | 26/35 [00:07<00:02, 3.62it/s] 77%|███████▋ | 27/35 [00:07<00:02, 3.62it/s] 80%|████████ | 28/35 [00:07<00:01, 3.62it/s] 83%|████████▎ | 29/35 [00:07<00:01, 3.62it/s] 86%|████████▌ | 30/35 [00:08<00:01, 3.62it/s] 89%|████████▊ | 31/35 [00:08<00:01, 3.62it/s] 91%|█████████▏| 32/35 [00:08<00:00, 3.62it/s] 94%|█████████▍| 33/35 [00:09<00:00, 3.62it/s] 97%|█████████▋| 34/35 [00:09<00:00, 3.62it/s] 100%|██████████| 35/35 [00:09<00:00, 3.62it/s] 100%|██████████| 35/35 [00:09<00:00, 3.62it/s]