charlesmccarthy / cog-iniverse

vae: sdxl-vae-fp16-fix
seed: -1
model: guofengv11.safetensors
steps: 35
width: 1184
height: 864
prompt: 1girl, cat girl, cat ears, cat tail, yellow eyes, white hair, bob cut, from side, scenery, sunset
cfg_scale: 7
scheduler: DPM++ 2M SDE Karras
batch_size: 1
negative_prompt: unaestheticXL_Sky3.1, animal, cat, dog, big breasts
guidance_rescale: 0.7
prepend_preprompt

{
  "vae": "sdxl-vae-fp16-fix",
  "seed": -1,
  "model": "guofengv11.safetensors",
  "steps": 35,
  "width": 1184,
  "height": 864,
  "prompt": "1girl, cat girl, cat ears, cat tail, yellow eyes, white hair, bob cut, from side, scenery, sunset",
  "cfg_scale": 7,
  "scheduler": "DPM++ 2M SDE Karras",
  "batch_size": 1,
  "negative_prompt": "unaestheticXL_Sky3.1, animal, cat, dog, big breasts",
  "guidance_rescale": 0.7,
  "prepend_preprompt": true
}

Install Replicate’s Node.js client library:

npm install replicate

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 charlesmccarthy/cog-iniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "charlesmccarthy/cog-iniverse:265154b572c4b3780ee830d57d9770fb84c2c6951ff99b877fccb8d819e7e33b",
  {
    input: {
      vae: "sdxl-vae-fp16-fix",
      seed: -1,
      model: "guofengv11.safetensors",
      steps: 35,
      width: 1184,
      height: 864,
      prompt: "1girl, cat girl, cat ears, cat tail, yellow eyes, white hair, bob cut, from side, scenery, sunset",
      cfg_scale: 7,
      scheduler: "DPM++ 2M SDE Karras",
      batch_size: 1,
      negative_prompt: "unaestheticXL_Sky3.1, animal, cat, dog, big breasts",
      guidance_rescale: 0.7,
      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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run charlesmccarthy/cog-iniverse using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "charlesmccarthy/cog-iniverse:265154b572c4b3780ee830d57d9770fb84c2c6951ff99b877fccb8d819e7e33b",
    input={
        "vae": "sdxl-vae-fp16-fix",
        "seed": -1,
        "model": "guofengv11.safetensors",
        "steps": 35,
        "width": 1184,
        "height": 864,
        "prompt": "1girl, cat girl, cat ears, cat tail, yellow eyes, white hair, bob cut, from side, scenery, sunset",
        "cfg_scale": 7,
        "scheduler": "DPM++ 2M SDE Karras",
        "batch_size": 1,
        "negative_prompt": "unaestheticXL_Sky3.1, animal, cat, dog, big breasts",
        "guidance_rescale": 0.7,
        "prepend_preprompt": True
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run charlesmccarthy/cog-iniverse 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": "charlesmccarthy/cog-iniverse:265154b572c4b3780ee830d57d9770fb84c2c6951ff99b877fccb8d819e7e33b",
    "input": {
      "vae": "sdxl-vae-fp16-fix",
      "seed": -1,
      "model": "guofengv11.safetensors",
      "steps": 35,
      "width": 1184,
      "height": 864,
      "prompt": "1girl, cat girl, cat ears, cat tail, yellow eyes, white hair, bob cut, from side, scenery, sunset",
      "cfg_scale": 7,
      "scheduler": "DPM++ 2M SDE Karras",
      "batch_size": 1,
      "negative_prompt": "unaestheticXL_Sky3.1, animal, cat, dog, big breasts",
      "guidance_rescale": 0.7,
      "prepend_preprompt": true
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-06-02T23:20:36.187661Z",
  "created_at": "2024-06-02T23:18:44.551000Z",
  "data_removed": false,
  "error": null,
  "id": "cnyxdww68xrgj0cfvczv2vbzyg",
  "input": {
    "vae": "sdxl-vae-fp16-fix",
    "seed": -1,
    "model": "guofengv11.safetensors",
    "steps": 35,
    "width": 1184,
    "height": 864,
    "prompt": "1girl, cat girl, cat ears, cat tail, yellow eyes, white hair, bob cut, from side, scenery, sunset",
    "cfg_scale": 7,
    "scheduler": "DPM++ 2M SDE Karras",
    "batch_size": 1,
    "negative_prompt": "unaestheticXL_Sky3.1, animal, cat, dog, big breasts",
    "guidance_rescale": 0.7,
    "prepend_preprompt": true
  },
  "logs": "0%|          | 0/35 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)\nreturn F.conv2d(input, weight, bias, self.stride,\n  3%|▎         | 1/35 [00:00<00:15,  2.26it/s]\n  6%|▌         | 2/35 [00:00<00:08,  4.08it/s]\n  9%|▊         | 3/35 [00:00<00:06,  4.57it/s]\n 11%|█▏        | 4/35 [00:00<00:06,  4.84it/s]\n 14%|█▍        | 5/35 [00:01<00:06,  5.00it/s]\n 17%|█▋        | 6/35 [00:01<00:05,  5.10it/s]\n 20%|██        | 7/35 [00:01<00:05,  5.15it/s]\n 23%|██▎       | 8/35 [00:01<00:05,  5.19it/s]\n 26%|██▌       | 9/35 [00:01<00:04,  5.22it/s]\n 29%|██▊       | 10/35 [00:02<00:04,  5.24it/s]\n 31%|███▏      | 11/35 [00:02<00:04,  5.26it/s]\n 34%|███▍      | 12/35 [00:02<00:04,  5.26it/s]\n 37%|███▋      | 13/35 [00:02<00:04,  5.26it/s]\n 40%|████      | 14/35 [00:02<00:03,  5.27it/s]\n 43%|████▎     | 15/35 [00:03<00:03,  5.27it/s]\n 46%|████▌     | 16/35 [00:03<00:03,  5.28it/s]\n 49%|████▊     | 17/35 [00:03<00:03,  5.28it/s]\n 51%|█████▏    | 18/35 [00:03<00:03,  5.28it/s]\n 54%|█████▍    | 19/35 [00:03<00:03,  5.28it/s]\n 57%|█████▋    | 20/35 [00:03<00:02,  5.27it/s]\n 60%|██████    | 21/35 [00:04<00:02,  5.27it/s]\n 63%|██████▎   | 22/35 [00:04<00:02,  5.26it/s]\n 66%|██████▌   | 23/35 [00:04<00:02,  5.26it/s]\n 69%|██████▊   | 24/35 [00:04<00:02,  5.26it/s]\n 71%|███████▏  | 25/35 [00:04<00:01,  5.26it/s]\n 74%|███████▍  | 26/35 [00:05<00:01,  5.26it/s]\n 77%|███████▋  | 27/35 [00:05<00:01,  5.26it/s]\n 80%|████████  | 28/35 [00:05<00:01,  5.25it/s]\n 83%|████████▎ | 29/35 [00:05<00:01,  5.26it/s]\n 86%|████████▌ | 30/35 [00:05<00:00,  5.26it/s]\n 89%|████████▊ | 31/35 [00:06<00:00,  5.25it/s]\n 91%|█████████▏| 32/35 [00:06<00:00,  5.25it/s]\n 94%|█████████▍| 33/35 [00:06<00:00,  5.25it/s]\n 97%|█████████▋| 34/35 [00:06<00:00,  5.25it/s]\n100%|██████████| 35/35 [00:06<00:00,  5.25it/s]\n100%|██████████| 35/35 [00:06<00:00,  5.14it/s]",
  "metrics": {
    "predict_time": 9.940234,
    "total_time": 111.636661
  },
  "output": [
    "https://replicate.delivery/pbxt/i03lbO97dF6PLpjpvBsAeV3rfjZj5exe6mrfdmtwklqSIYVXC/0.png"
  ],
  "started_at": "2024-06-02T23:20:26.247427Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/cnyxdww68xrgj0cfvczv2vbzyg",
    "cancel": "https://api.replicate.com/v1/predictions/cnyxdww68xrgj0cfvczv2vbzyg/cancel"
  },
  "version": "265154b572c4b3780ee830d57d9770fb84c2c6951ff99b877fccb8d819e7e33b"
}

Generated in

9.9 seconds

Tweak it ShareReport

0%|          | 0/35 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv2d(input, weight, bias, self.stride,
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