The model to use
Default: "AnnoLustXL"
The VAE to use
Default: "default"
The prompt, uses Compel weighting syntax
Default: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V"
The negative prompt (For things you don't want), uses Compel weighting syntax
Default: "nsfw, naked"
CFG scale defines how much attention the model pays to the prompt when generating, set to 1 to disable
Default: 5
The amount to rescale CFG generated noise to avoid generating overexposed images, set to 0 or 1 to disable
Default: 1
PAG scale is similar to CFG but it literally makes the result better, it's compatible with CFG too, set to 0 to disable
Default: 0
How many CLIP layers to skip, 1 is actually no skip, this is the behavior in A1111 so it's aligned to it
The width of the image
Default: 1024
The height of the image
Prepend preprompt (Prompt: " 8k, photorealistic, intricate details, high resolution, " Negative prompt: "low resolution, lowres, bad anatomy, bad hands, missing fingers, worst quality, low quality, normal quality, cartoon, anime, drawing, sketch, illustration, artificial, poor quality, bad_fingers, extra_fingers, mutated_fingers, ")
Default: true
The scheduler to use
Default: "Euler a"
The steps when generating
Default: 30
Number of images to generate (1-4), note if you set this to 4, some high resolution gens might fail because of not enough VRAM
The seed used when generating, set to -1 for random seed
Default: -1
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run aisha-ai-official/annolust-xl 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/annolust-xl:b2b06f1ffac47607ff8913cb73e170d0f7260a6abf8137350e6f0eddc9ec8a3d", { input: { vae: "default", seed: -1, model: "AnnoLustXL", steps: 30, width: 1024, height: 1024, prompt: "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V", cfg_scale: 5, clip_skip: 1, pag_scale: 0, scheduler: "Euler a", batch_size: 1, negative_prompt: "nsfw, naked", guidance_rescale: 1, prepend_preprompt: true } } ); // 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.
pip install replicate
import replicate
output = replicate.run( "aisha-ai-official/annolust-xl:b2b06f1ffac47607ff8913cb73e170d0f7260a6abf8137350e6f0eddc9ec8a3d", input={ "vae": "default", "seed": -1, "model": "AnnoLustXL", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V", "cfg_scale": 5, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 1, "prepend_preprompt": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "aisha-ai-official/annolust-xl:b2b06f1ffac47607ff8913cb73e170d0f7260a6abf8137350e6f0eddc9ec8a3d", "input": { "vae": "default", "seed": -1, "model": "AnnoLustXL", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V", "cfg_scale": 5, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 1, "prepend_preprompt": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2025-02-27T17:12:26.302835Z", "created_at": "2025-02-27T17:11:45.630000Z", "data_removed": false, "error": null, "id": "5h8v9jcjvsrme0cn91jbmt11j8", "input": { "vae": "default", "seed": -1, "model": "AnnoLustXL", "steps": 30, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V", "cfg_scale": 5, "clip_skip": 1, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 1, "prepend_preprompt": true }, "logs": "Using text to image mode.\nUsing seed: 1605233854\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:05, 4.88it/s]\n 10%|█ | 3/30 [00:00<00:03, 8.73it/s]\n 13%|█▎ | 4/30 [00:00<00:02, 8.81it/s]\n 17%|█▋ | 5/30 [00:00<00:02, 8.87it/s]\n 20%|██ | 6/30 [00:00<00:02, 8.91it/s]\n 23%|██▎ | 7/30 [00:00<00:02, 8.93it/s]\n 27%|██▋ | 8/30 [00:00<00:02, 8.94it/s]\n 30%|███ | 9/30 [00:01<00:02, 8.95it/s]\n 33%|███▎ | 10/30 [00:01<00:02, 8.95it/s]\n 37%|███▋ | 11/30 [00:01<00:02, 8.96it/s]\n 40%|████ | 12/30 [00:01<00:02, 8.97it/s]\n 43%|████▎ | 13/30 [00:01<00:01, 8.96it/s]\n 47%|████▋ | 14/30 [00:01<00:01, 8.96it/s]\n 50%|█████ | 15/30 [00:01<00:01, 8.97it/s]\n 53%|█████▎ | 16/30 [00:01<00:01, 8.97it/s]\n 57%|█████▋ | 17/30 [00:01<00:01, 8.96it/s]\n 60%|██████ | 18/30 [00:02<00:01, 8.96it/s]\n 63%|██████▎ | 19/30 [00:02<00:01, 8.96it/s]\n 67%|██████▋ | 20/30 [00:02<00:01, 8.97it/s]\n 70%|███████ | 21/30 [00:02<00:01, 8.97it/s]\n 73%|███████▎ | 22/30 [00:02<00:00, 8.96it/s]\n 77%|███████▋ | 23/30 [00:02<00:00, 8.96it/s]\n 80%|████████ | 24/30 [00:02<00:00, 8.95it/s]\n 83%|████████▎ | 25/30 [00:02<00:00, 8.94it/s]\n 87%|████████▋ | 26/30 [00:02<00:00, 8.93it/s]\n 90%|█████████ | 27/30 [00:03<00:00, 8.93it/s]\n 93%|█████████▎| 28/30 [00:03<00:00, 8.93it/s]\n 97%|█████████▋| 29/30 [00:03<00:00, 8.92it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.92it/s]\n100%|██████████| 30/30 [00:03<00:00, 8.86it/s]", "metrics": { "predict_time": 4.889055948, "total_time": 40.672835 }, "output": [ "https://replicate.delivery/xezq/iFev094VBetbh0Oca3NtpLffFrBk3dIO1ejKierzRhMgedyJKA/0.png" ], "started_at": "2025-02-27T17:12:21.413779Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-gqvsv4rn7wmhmmbzhp2apzj67gebc4tkcpip2nnyfi5igutx5yrq", "get": "https://api.replicate.com/v1/predictions/5h8v9jcjvsrme0cn91jbmt11j8", "cancel": "https://api.replicate.com/v1/predictions/5h8v9jcjvsrme0cn91jbmt11j8/cancel" }, "version": "b2b06f1ffac47607ff8913cb73e170d0f7260a6abf8137350e6f0eddc9ec8a3d" }
Using text to image mode. Using seed: 1605233854 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:05, 4.88it/s] 10%|█ | 3/30 [00:00<00:03, 8.73it/s] 13%|█▎ | 4/30 [00:00<00:02, 8.81it/s] 17%|█▋ | 5/30 [00:00<00:02, 8.87it/s] 20%|██ | 6/30 [00:00<00:02, 8.91it/s] 23%|██▎ | 7/30 [00:00<00:02, 8.93it/s] 27%|██▋ | 8/30 [00:00<00:02, 8.94it/s] 30%|███ | 9/30 [00:01<00:02, 8.95it/s] 33%|███▎ | 10/30 [00:01<00:02, 8.95it/s] 37%|███▋ | 11/30 [00:01<00:02, 8.96it/s] 40%|████ | 12/30 [00:01<00:02, 8.97it/s] 43%|████▎ | 13/30 [00:01<00:01, 8.96it/s] 47%|████▋ | 14/30 [00:01<00:01, 8.96it/s] 50%|█████ | 15/30 [00:01<00:01, 8.97it/s] 53%|█████▎ | 16/30 [00:01<00:01, 8.97it/s] 57%|█████▋ | 17/30 [00:01<00:01, 8.96it/s] 60%|██████ | 18/30 [00:02<00:01, 8.96it/s] 63%|██████▎ | 19/30 [00:02<00:01, 8.96it/s] 67%|██████▋ | 20/30 [00:02<00:01, 8.97it/s] 70%|███████ | 21/30 [00:02<00:01, 8.97it/s] 73%|███████▎ | 22/30 [00:02<00:00, 8.96it/s] 77%|███████▋ | 23/30 [00:02<00:00, 8.96it/s] 80%|████████ | 24/30 [00:02<00:00, 8.95it/s] 83%|████████▎ | 25/30 [00:02<00:00, 8.94it/s] 87%|████████▋ | 26/30 [00:02<00:00, 8.93it/s] 90%|█████████ | 27/30 [00:03<00:00, 8.93it/s] 93%|█████████▎| 28/30 [00:03<00:00, 8.93it/s] 97%|█████████▋| 29/30 [00:03<00:00, 8.92it/s] 100%|██████████| 30/30 [00:03<00:00, 8.92it/s] 100%|██████████| 30/30 [00:03<00:00, 8.86it/s]
View more examples
This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
A good anime merge from 12 other models
Great text-to-image model by Cagliostro Lab
Realistic text-to-image by TiwazM
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.