cjwbw / stable-diffusion

stable-diffusion with negative prompts, more scheduler

Cold

Public
65.3K runs
A100 (80GB)
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

cjwbw/stable-diffusion:2399297d2efc1bcde6571d98874bf7b2292960e4b5abfe6e40291cfb076e9c55

Model

cjwbw/stable-diffusion:2399297d

ulhxtkydf5aexhcrmginsuucxi

Status

Succeeded

Source

Web

Hardware

–

Total duration

7.7s

Created

over 2 years ago by @bfirsh

Input

width: "512"
height: "896"
prompt: multicolor hyperspace
num_outputs: 1
guidance_scale: 7.5
prompt_strength: 0.8
num_inference_steps: 50

{
  "width": "512",
  "height": "896",
  "prompt": "multicolor hyperspace",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/stable-diffusion:2399297d2efc1bcde6571d98874bf7b2292960e4b5abfe6e40291cfb076e9c55",
  {
    input: {
      width: "512",
      height: "896",
      prompt: "multicolor hyperspace",
      num_outputs: 1,
      guidance_scale: 7.5,
      prompt_strength: 0.8,
      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

Import the client:

import replicate

Run cjwbw/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/stable-diffusion:2399297d2efc1bcde6571d98874bf7b2292960e4b5abfe6e40291cfb076e9c55",
    input={
        "width": "512",
        "height": "896",
        "prompt": "multicolor hyperspace",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "prompt_strength": 0.8,
        "num_inference_steps": 50
    }
)
print(output)

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

Run cjwbw/stable-diffusion 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": "2399297d2efc1bcde6571d98874bf7b2292960e4b5abfe6e40291cfb076e9c55",
    "input": {
      "width": "512",
      "height": "896",
      "prompt": "multicolor hyperspace",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "prompt_strength": 0.8,
      "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": "2022-10-01T14:12:57.621559Z",
  "created_at": "2022-10-01T14:12:49.959135Z",
  "data_removed": false,
  "error": null,
  "id": "ulhxtkydf5aexhcrmginsuucxi",
  "input": {
    "width": "512",
    "height": "896",
    "prompt": "multicolor hyperspace",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "num_inference_steps": 50
  },
  "logs": "Using seed: 46716\n\n0it [00:00, ?it/s]\n1it [00:00,  6.02it/s]\n2it [00:00,  7.71it/s]\n3it [00:00,  7.31it/s]\n4it [00:00,  7.60it/s]\n5it [00:00,  7.63it/s]\n6it [00:00,  7.51it/s]\n7it [00:00,  7.67it/s]\n8it [00:01,  7.74it/s]\n9it [00:01,  7.73it/s]\n10it [00:01,  7.71it/s]\n11it [00:01,  7.56it/s]\n12it [00:01,  7.78it/s]\n13it [00:01,  7.77it/s]\n14it [00:01,  7.58it/s]\n15it [00:01,  7.78it/s]\n16it [00:02,  7.64it/s]\n17it [00:02,  7.78it/s]\n18it [00:02,  7.65it/s]\n19it [00:02,  7.79it/s]\n20it [00:02,  7.74it/s]\n21it [00:02,  7.73it/s]\n22it [00:02,  7.71it/s]\n23it [00:03,  7.69it/s]\n24it [00:03,  7.72it/s]\n25it [00:03,  7.72it/s]\n26it [00:03,  7.73it/s]\n27it [00:03,  7.67it/s]\n28it [00:03,  7.60it/s]\n29it [00:03,  7.76it/s]\n30it [00:03,  7.73it/s]\n31it [00:04,  7.73it/s]\n32it [00:04,  7.75it/s]\n33it [00:04,  7.60it/s]\n34it [00:04,  7.76it/s]\n35it [00:04,  7.77it/s]\n36it [00:04,  7.74it/s]\n37it [00:04,  7.61it/s]\n38it [00:04,  7.60it/s]\n39it [00:05,  7.79it/s]\n40it [00:05,  7.77it/s]\n41it [00:05,  7.75it/s]\n42it [00:05,  7.75it/s]\n43it [00:05,  7.68it/s]\n44it [00:05,  7.71it/s]\n45it [00:05,  7.72it/s]\n46it [00:05,  7.71it/s]\n47it [00:06,  7.61it/s]\n48it [00:06,  7.74it/s]\n49it [00:06,  7.74it/s]\n50it [00:06,  7.75it/s]\n50it [00:06,  7.69it/s]\nNSFW content detected in 0 outputs, showing the rest 1 images...",
  "metrics": {
    "predict_time": 7.492933,
    "total_time": 7.662424
  },
  "output": [
    "https://replicate.delivery/mgxm/7ae9ba6e-7b21-4808-b802-1b906a992ff3/out-0.png"
  ],
  "started_at": "2022-10-01T14:12:50.128626Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ulhxtkydf5aexhcrmginsuucxi",
    "cancel": "https://api.replicate.com/v1/predictions/ulhxtkydf5aexhcrmginsuucxi/cancel"
  },
  "version": "2399297d2efc1bcde6571d98874bf7b2292960e4b5abfe6e40291cfb076e9c55"
}

Generated in

7.5 seconds

Tweak it ShareReport

Prediction

cjwbw/stable-diffusion:4049a9d8947a75a0b245e3937f194d27e3277bab4a9c1d6f81922919b65175fd

Model

cjwbw/stable-diffusion:4049a9d8

d2pvt33w3bfzdimooqjd6tdt7y

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.6s

Created

over 2 years ago

Input

width: "512"
height: "512"
prompt: Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo
scheduler: K_EULER_ANCESTRAL
num_outputs: 1
guidance_scale: 7.5
negative_prompt: yellow color, nose
prompt_strength: 0.8
num_inference_steps: "30"

{
  "width": "512",
  "height": "512",
  "prompt": "Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "negative_prompt": "yellow color, nose",
  "prompt_strength": 0.8,
  "num_inference_steps": "30"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run cjwbw/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "cjwbw/stable-diffusion:4049a9d8947a75a0b245e3937f194d27e3277bab4a9c1d6f81922919b65175fd",
  {
    input: {
      width: "512",
      height: "512",
      prompt: "Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo",
      scheduler: "K_EULER_ANCESTRAL",
      num_outputs: 1,
      guidance_scale: 7.5,
      negative_prompt: "yellow color, nose",
      prompt_strength: 0.8,
      num_inference_steps: "30"
    }
  }
);

// 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 cjwbw/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "cjwbw/stable-diffusion:4049a9d8947a75a0b245e3937f194d27e3277bab4a9c1d6f81922919b65175fd",
    input={
        "width": "512",
        "height": "512",
        "prompt": "Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo",
        "scheduler": "K_EULER_ANCESTRAL",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "negative_prompt": "yellow color, nose",
        "prompt_strength": 0.8,
        "num_inference_steps": "30"
    }
)
print(output)

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

Run cjwbw/stable-diffusion 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": "4049a9d8947a75a0b245e3937f194d27e3277bab4a9c1d6f81922919b65175fd",
    "input": {
      "width": "512",
      "height": "512",
      "prompt": "Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo",
      "scheduler": "K_EULER_ANCESTRAL",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "negative_prompt": "yellow color, nose",
      "prompt_strength": 0.8,
      "num_inference_steps": "30"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-11-22T21:02:49.319319Z",
  "created_at": "2022-11-22T21:02:46.685879Z",
  "data_removed": false,
  "error": null,
  "id": "d2pvt33w3bfzdimooqjd6tdt7y",
  "input": {
    "width": "512",
    "height": "512",
    "prompt": "Ragdoll cat king wearing a golden crown, intricate, elegant, highly detailed, centered, digital painting, artstation, concept art, smooth, sharp focus, illustration, artgerm, Tomasz Alen Kopera, Peter Mohrbacher, donato giancola, Joseph Christian Leyendecker, WLOP, Boris Vallejo",
    "scheduler": "K_EULER_ANCESTRAL",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "negative_prompt": "yellow color, nose",
    "prompt_strength": 0.8,
    "num_inference_steps": "30"
  },
  "logs": "Using seed: 7556\n  0%|          | 0/30 [00:00<?, ?it/s]\n  7%|▋         | 2/30 [00:00<00:02, 13.46it/s]\n 13%|█▎        | 4/30 [00:00<00:01, 14.22it/s]\n 20%|██        | 6/30 [00:00<00:01, 14.00it/s]\n 27%|██▋       | 8/30 [00:00<00:01, 14.31it/s]\n 33%|███▎      | 10/30 [00:00<00:01, 14.43it/s]\n 40%|████      | 12/30 [00:00<00:01, 14.61it/s]\n 47%|████▋     | 14/30 [00:00<00:01, 14.36it/s]\n 53%|█████▎    | 16/30 [00:01<00:00, 14.49it/s]\n 60%|██████    | 18/30 [00:01<00:00, 14.32it/s]\n 67%|██████▋   | 20/30 [00:01<00:00, 14.49it/s]\n 73%|███████▎  | 22/30 [00:01<00:00, 14.62it/s]\n 80%|████████  | 24/30 [00:01<00:00, 14.74it/s]\n 87%|████████▋ | 26/30 [00:01<00:00, 14.74it/s]\n 93%|█████████▎| 28/30 [00:01<00:00, 14.67it/s]\n100%|██████████| 30/30 [00:02<00:00, 14.72it/s]\n100%|██████████| 30/30 [00:02<00:00, 14.51it/s]",
  "metrics": {
    "predict_time": 2.597631,
    "total_time": 2.63344
  },
  "output": [
    "https://replicate.delivery/pbxt/HR9BqOj0nezdSif52eDFLFClW8AIemuiYQvxDMTp5SEkv6KAB/out-0.png"
  ],
  "started_at": "2022-11-22T21:02:46.721688Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/d2pvt33w3bfzdimooqjd6tdt7y",
    "cancel": "https://api.replicate.com/v1/predictions/d2pvt33w3bfzdimooqjd6tdt7y/cancel"
  },
  "version": "4049a9d8947a75a0b245e3937f194d27e3277bab4a9c1d6f81922919b65175fd"
}

Generated in

2.6 seconds

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cjwbw / stable-diffusion

Prediction

Input

Output

Prediction

Input

Output

Logs (ulhxtkydf5aexhcrmginsuucxi)

Logs (d2pvt33w3bfzdimooqjd6tdt7y)