qunash/circassian-culture-flux-3000-steps:bf772d87

Version

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qunash /circassian-culture-flux-3000-steps:bf772d87

Input

prompt

*string

Shift + Return to add a new line

Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.

Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.

image

file

Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

mask

file

Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.

height

integer

(minimum: 256, maximum: 1440)

Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

width

integer

(minimum: 256, maximum: 1440)

Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image

Default: 0.8

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs to generate

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. More steps can give more detailed images, but take longer.

Default: 28

guidance_scale

number

(minimum: 0, maximum: 10)

Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5

Default: 3

seed

integer

Random seed. Set for reproducible generation

go_fast

boolean

Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16

Default: false

megapixels

string

Approximate number of megapixels for generated image

Default: "1"

extra_lora

string

Shift + Return to add a new line

Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'

extra_lora_scale

number

(minimum: -1, maximum: 3)

Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.

Default: 1

Including aspect_ratio and 5 more...

Run this model in Node.js with one line of code:

npx create-replicate --model=qunash/circassian-culture-flux-3000-steps

or set up a project from scratch

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 qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688",
  {
    input: {
      model: "dev",
      prompt: "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 3.5,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 50
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run qunash/circassian-culture-flux-3000-steps using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688",
    input={
        "model": "dev",
        "prompt": "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 50
    }
)
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 qunash/circassian-culture-flux-3000-steps 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": "qunash/circassian-culture-flux-3000-steps:bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688",
    "input": {
      "model": "dev",
      "prompt": "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-08-18T07:17:24.949735Z",
  "created_at": "2024-08-18T07:16:11.227000Z",
  "data_removed": false,
  "error": null,
  "id": "qzjshkqkbdrm60chchbrjrfjfc",
  "input": {
    "model": "dev",
    "prompt": "Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 40517\nPrompt: Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:01<00:49,  1.01s/it]\n  4%|▍         | 2/50 [00:01<00:42,  1.13it/s]\n  6%|▌         | 3/50 [00:02<00:44,  1.06it/s]\n  8%|▊         | 4/50 [00:03<00:44,  1.02it/s]\n 10%|█         | 5/50 [00:04<00:44,  1.01it/s]\n 12%|█▏        | 6/50 [00:05<00:44,  1.00s/it]\n 14%|█▍        | 7/50 [00:06<00:43,  1.01s/it]\n 16%|█▌        | 8/50 [00:07<00:42,  1.01s/it]\n 18%|█▊        | 9/50 [00:08<00:41,  1.02s/it]\n 20%|██        | 10/50 [00:09<00:40,  1.02s/it]\n 22%|██▏       | 11/50 [00:11<00:39,  1.02s/it]\n 24%|██▍       | 12/50 [00:12<00:38,  1.02s/it]\n 26%|██▌       | 13/50 [00:13<00:37,  1.02s/it]\n 28%|██▊       | 14/50 [00:14<00:36,  1.02s/it]\n 30%|███       | 15/50 [00:15<00:35,  1.02s/it]\n 32%|███▏      | 16/50 [00:16<00:34,  1.03s/it]\n 34%|███▍      | 17/50 [00:17<00:33,  1.02s/it]\n 36%|███▌      | 18/50 [00:18<00:32,  1.02s/it]\n 38%|███▊      | 19/50 [00:19<00:31,  1.03s/it]\n 40%|████      | 20/50 [00:20<00:30,  1.03s/it]\n 42%|████▏     | 21/50 [00:21<00:29,  1.03s/it]\n 44%|████▍     | 22/50 [00:22<00:28,  1.03s/it]\n 46%|████▌     | 23/50 [00:23<00:27,  1.03s/it]\n 48%|████▊     | 24/50 [00:24<00:26,  1.03s/it]\n 50%|█████     | 25/50 [00:25<00:25,  1.03s/it]\n 52%|█████▏    | 26/50 [00:26<00:24,  1.03s/it]\n 54%|█████▍    | 27/50 [00:27<00:23,  1.03s/it]\n 56%|█████▌    | 28/50 [00:28<00:22,  1.03s/it]\n 58%|█████▊    | 29/50 [00:29<00:21,  1.03s/it]\n 60%|██████    | 30/50 [00:30<00:20,  1.03s/it]\n 62%|██████▏   | 31/50 [00:31<00:19,  1.03s/it]\n 64%|██████▍   | 32/50 [00:32<00:18,  1.03s/it]\n 66%|██████▌   | 33/50 [00:33<00:17,  1.03s/it]\n 68%|██████▊   | 34/50 [00:34<00:16,  1.03s/it]\n 70%|███████   | 35/50 [00:35<00:15,  1.03s/it]\n 72%|███████▏  | 36/50 [00:36<00:14,  1.03s/it]\n 74%|███████▍  | 37/50 [00:37<00:13,  1.03s/it]\n 76%|███████▌  | 38/50 [00:38<00:12,  1.03s/it]\n 78%|███████▊  | 39/50 [00:39<00:11,  1.03s/it]\n 80%|████████  | 40/50 [00:40<00:10,  1.03s/it]\n 82%|████████▏ | 41/50 [00:41<00:09,  1.03s/it]\n 84%|████████▍ | 42/50 [00:42<00:08,  1.03s/it]\n 86%|████████▌ | 43/50 [00:43<00:07,  1.03s/it]\n 88%|████████▊ | 44/50 [00:44<00:06,  1.03s/it]\n 90%|█████████ | 45/50 [00:45<00:05,  1.03s/it]\n 92%|█████████▏| 46/50 [00:46<00:04,  1.03s/it]\n 94%|█████████▍| 47/50 [00:47<00:03,  1.03s/it]\n 96%|█████████▌| 48/50 [00:49<00:02,  1.03s/it]\n 98%|█████████▊| 49/50 [00:50<00:01,  1.03s/it]\n100%|██████████| 50/50 [00:51<00:00,  1.03s/it]\n100%|██████████| 50/50 [00:51<00:00,  1.02s/it]",
  "metrics": {
    "predict_time": 62.303914508,
    "total_time": 73.722735
  },
  "output": [
    "https://replicate.delivery/yhqm/eBxBPVJVxnT5cqjMAqYt87MllZw07gJ9edd55K796GuEI1TTA/out-0.webp",
    "https://replicate.delivery/yhqm/q1Lt2OSQypZwFpsykFqIf5xyfoVwidKMY2oDh5WfVNFIQqnmA/out-1.webp",
    "https://replicate.delivery/yhqm/uRuDpQZhnx6BBZfgENQZkdHLM6X5FlazIXeU79OVJROEI1TTA/out-2.webp",
    "https://replicate.delivery/yhqm/EKVbfImlS63ETKMzsMJJMHuQW0OO8AOtPeNpVLvVDOfJQqnmA/out-3.webp"
  ],
  "started_at": "2024-08-18T07:16:22.645820Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/qzjshkqkbdrm60chchbrjrfjfc",
    "cancel": "https://api.replicate.com/v1/predictions/qzjshkqkbdrm60chchbrjrfjfc/cancel"
  },
  "version": "bf772d87d563c647335dd4bdf50ca56ee5ced4fe55bf0e8ed3d7f874303ae688"
}

Generated in

62.3 seconds

Tweak it ShareReport

Using seed: 40517
Prompt: Circassian princess in Ghibli style, ethereal forest clearing. Flowing dress with intricate patterns, windswept hair. Soft, watercolor-like backgrounds. Whimsical trees, glowing fireflies. Distant castle towers peek through mist. Warm sunset hues blend with cool shadows. Character has large, expressive eyes and graceful pose.
txt2img mode
Using dev model
Loading LoRA weights
LoRA weights loaded successfully
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