aisha-ai-official/flux.1dev-uncensored-realreveal5

Input

prompt

*string

Shift + Return to add a new line

Portrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says "Flux Uncensored 💜" when she winks and smile to the viewerPortrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says "Flux Uncensored 💜" when she winks and smile to the viewer

The prompt

cfg_scale

number

(minimum: 0, maximum: 20)

CFG scale defines how much attention the model pays to the prompt when generating

Default: 5

width

integer

(minimum: 512, maximum: 2048)

The width of the image

Default: 1024

height

integer

(minimum: 512, maximum: 2048)

The height of the image

Default: 1024

scheduler

string

The scheduler to denoise the image

Default: "default"

steps

integer

(minimum: 4, maximum: 50)

Number of steps when generating

Default: 20

seed

integer

(minimum: -1)

The seed for generation; set to -1 for random seed

Default: -1

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

npx create-replicate --model=aisha-ai-official/flux.1dev-uncensored-realreveal5

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 aisha-ai-official/flux.1dev-uncensored-realreveal5 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "aisha-ai-official/flux.1dev-uncensored-realreveal5:9d7d06ebf0a2decf6caf0317ff6d61eb7078385126996a29a913c95b3ce0507f",
  {
    input: {
      seed: -1,
      steps: 20,
      width: 1024,
      height: 1024,
      prompt: "Portrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says \"Flux Uncensored 💜\" when she winks and smile to the viewer",
      cfg_scale: 5,
      scheduler: "Euler flux beta"
    }
  }
);
console.log(output);

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 aisha-ai-official/flux.1dev-uncensored-realreveal5 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "aisha-ai-official/flux.1dev-uncensored-realreveal5:9d7d06ebf0a2decf6caf0317ff6d61eb7078385126996a29a913c95b3ce0507f",
    input={
        "seed": -1,
        "steps": 20,
        "width": 1024,
        "height": 1024,
        "prompt": "Portrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says \"Flux Uncensored 💜\" when she winks and smile to the viewer",
        "cfg_scale": 5,
        "scheduler": "Euler flux beta"
    }
)
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 aisha-ai-official/flux.1dev-uncensored-realreveal5 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": "9d7d06ebf0a2decf6caf0317ff6d61eb7078385126996a29a913c95b3ce0507f",
    "input": {
      "seed": -1,
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "Portrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says \\"Flux Uncensored 💜\\" when she winks and smile to the viewer",
      "cfg_scale": 5,
      "scheduler": "Euler flux beta"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/aisha-ai-official/flux.1dev-uncensored-realreveal5@sha256:9d7d06ebf0a2decf6caf0317ff6d61eb7078385126996a29a913c95b3ce0507f \
  -i 'seed=-1' \
  -i 'steps=20' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i $'prompt="Portrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says \\"Flux Uncensored 💜\\" when she winks and smile to the viewer"' \
  -i 'cfg_scale=5' \
  -i 'scheduler="Euler flux beta"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/aisha-ai-official/flux.1dev-uncensored-realreveal5@sha256:9d7d06ebf0a2decf6caf0317ff6d61eb7078385126996a29a913c95b3ce0507f
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": -1,
      "steps": 20,
      "width": 1024,
      "height": 1024,
      "prompt": "Portrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says \\"Flux Uncensored 💜\\" when she winks and smile to the viewer",
      "cfg_scale": 5,
      "scheduler": "Euler flux beta"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2025-03-21T22:47:56.836818Z",
  "created_at": "2025-03-21T22:47:44.859000Z",
  "data_removed": false,
  "error": null,
  "id": "xgts7w8nvdrme0cnqbjbk2g2gc",
  "input": {
    "seed": -1,
    "steps": 20,
    "width": 1024,
    "height": 1024,
    "prompt": "Portrait of a woman with full dark-purple short hair and purple eyes. She is on a street, wearing casual clothes. She is holding a big sign that says \"Flux Uncensored 💜\" when she winks and smile to the viewer",
    "cfg_scale": 5,
    "scheduler": "Euler flux beta"
  },
  "logs": "Using seed: 47468511\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:11,  1.71it/s]\n 10%|█         | 2/20 [00:00<00:08,  2.16it/s]\n 15%|█▌        | 3/20 [00:01<00:08,  1.93it/s]\n 20%|██        | 4/20 [00:02<00:08,  1.84it/s]\n 25%|██▌       | 5/20 [00:02<00:08,  1.79it/s]\n 30%|███       | 6/20 [00:03<00:07,  1.77it/s]\n 35%|███▌      | 7/20 [00:03<00:07,  1.76it/s]\n 40%|████      | 8/20 [00:04<00:06,  1.75it/s]\n 45%|████▌     | 9/20 [00:05<00:06,  1.74it/s]\n 50%|█████     | 10/20 [00:05<00:05,  1.73it/s]\n 55%|█████▌    | 11/20 [00:06<00:05,  1.73it/s]\n 60%|██████    | 12/20 [00:06<00:04,  1.73it/s]\n 65%|██████▌   | 13/20 [00:07<00:04,  1.73it/s]\n 70%|███████   | 14/20 [00:07<00:03,  1.72it/s]\n 75%|███████▌  | 15/20 [00:08<00:02,  1.72it/s]\n 80%|████████  | 16/20 [00:09<00:02,  1.72it/s]\n 85%|████████▌ | 17/20 [00:09<00:01,  1.72it/s]\n 90%|█████████ | 18/20 [00:10<00:01,  1.72it/s]\n 95%|█████████▌| 19/20 [00:10<00:00,  1.71it/s]\n100%|██████████| 20/20 [00:11<00:00,  1.71it/s]\n100%|██████████| 20/20 [00:11<00:00,  1.75it/s]",
  "metrics": {
    "predict_time": 11.97096942,
    "total_time": 11.977818
  },
  "output": [
    "https://replicate.delivery/xezq/A45SHGqFfgU3dKUfyAxEWKCHVKj5AueBede3TMQ97QojTPXjC/tmp.png"
  ],
  "started_at": "2025-03-21T22:47:44.865848Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-mqzwhor5pvyumotwxytink634n25x2ivypsioxcapksagy2tpl2a",
    "get": "https://api.replicate.com/v1/predictions/xgts7w8nvdrme0cnqbjbk2g2gc",
    "cancel": "https://api.replicate.com/v1/predictions/xgts7w8nvdrme0cnqbjbk2g2gc/cancel"
  },
  "version": "9d7d06ebf0a2decf6caf0317ff6d61eb7078385126996a29a913c95b3ce0507f"
}

Generated in

12.0 seconds

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Run time and cost

This model costs approximately $0.012 to run on Replicate, or 83 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 13 seconds. The predict time for this model varies significantly based on the inputs.