goodguy1963 / epicrealism-naturalsinfinal-byepinikion-v2

width: 1024
height: 1024
prompt: woman dancing
sampler: DPMPP_2M
model_name: perfectdeliberate
lora_weight: 0.8
guidance_scale: 7.5
lora_selection: none
scheduler_type: karras
negative_prompt: worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet
prompt_strength: 0.8
num_inference_steps: 30

{
  "width": 1024,
  "height": 1024,
  "prompt": "woman dancing",
  "sampler": "DPMPP_2M",
  "model_name": "perfectdeliberate",
  "lora_weight": 0.8,
  "guidance_scale": 7.5,
  "lora_selection": "none",
  "scheduler_type": "karras",
  "negative_prompt": "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
  "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 goodguy1963/epicrealism-naturalsinfinal-byepinikion-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "goodguy1963/epicrealism-naturalsinfinal-byepinikion-v2:5310130b210862f0f4c222c5f67d1e0ccde3b1aaf4a3abb2918cad7d3f2dce4b",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "woman dancing",
      sampler: "DPMPP_2M",
      model_name: "perfectdeliberate",
      lora_weight: 0.8,
      guidance_scale: 7.5,
      lora_selection: "none",
      scheduler_type: "karras",
      negative_prompt: "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
      prompt_strength: 0.8,
      num_inference_steps: 30
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

Run goodguy1963/epicrealism-naturalsinfinal-byepinikion-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "goodguy1963/epicrealism-naturalsinfinal-byepinikion-v2:5310130b210862f0f4c222c5f67d1e0ccde3b1aaf4a3abb2918cad7d3f2dce4b",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "woman dancing",
        "sampler": "DPMPP_2M",
        "model_name": "perfectdeliberate",
        "lora_weight": 0.8,
        "guidance_scale": 7.5,
        "lora_selection": "none",
        "scheduler_type": "karras",
        "negative_prompt": "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
        "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 goodguy1963/epicrealism-naturalsinfinal-byepinikion-v2 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": "goodguy1963/epicrealism-naturalsinfinal-byepinikion-v2:5310130b210862f0f4c222c5f67d1e0ccde3b1aaf4a3abb2918cad7d3f2dce4b",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "woman dancing",
      "sampler": "DPMPP_2M",
      "model_name": "perfectdeliberate",
      "lora_weight": 0.8,
      "guidance_scale": 7.5,
      "lora_selection": "none",
      "scheduler_type": "karras",
      "negative_prompt": "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
      "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": "2025-03-23T09:35:01.198058Z",
  "created_at": "2025-03-23T09:30:20.011000Z",
  "data_removed": false,
  "error": null,
  "id": "vtgmkxnzxdrj60cnr9b8kh1jng",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "woman dancing",
    "sampler": "DPMPP_2M",
    "model_name": "perfectdeliberate",
    "lora_weight": 0.8,
    "guidance_scale": 7.5,
    "lora_selection": "none",
    "scheduler_type": "karras",
    "negative_prompt": "worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, mutated, deformed, distorted, disfigured, body horror, watermark, text, meme, bad proportions, cropped head, out of frame, cut off, ugly, duplicate, mutilated, mutation, disgusting, bad anatomy, bad hands, three hands, three legs, bad feet, three feet",
    "prompt_strength": 0.8,
    "num_inference_steps": 30
  },
  "logs": "Running prediction...\nUsing seed: 22573\nClearing CUDA cache before prediction\nLoading model: PerfectDeliberate v5.0\nLoading from /src/model/perfectdeliberate.safetensors\n`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"bos_token_id\"]` will be overriden.\n`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"eos_token_id\"]` will be overriden.\n/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\nwarnings.warn(\nUsing DPMPP_2M sampler with default configuration\nNo LoRAs selected\nRunning txt2img...\nEnabling attention slicing for high resolution generation\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:10,  2.83it/s]\n  7%|▋         | 2/30 [00:00<00:07,  3.69it/s]\n 10%|█         | 3/30 [00:00<00:06,  4.09it/s]\n 13%|█▎        | 4/30 [00:00<00:06,  4.32it/s]\n 17%|█▋        | 5/30 [00:01<00:05,  4.45it/s]\n 20%|██        | 6/30 [00:01<00:05,  4.54it/s]\n 23%|██▎       | 7/30 [00:01<00:05,  4.59it/s]\n 27%|██▋       | 8/30 [00:01<00:04,  4.63it/s]\n 30%|███       | 9/30 [00:02<00:04,  4.66it/s]\n 33%|███▎      | 10/30 [00:02<00:04,  4.67it/s]\n 37%|███▋      | 11/30 [00:02<00:04,  4.69it/s]\n 40%|████      | 12/30 [00:02<00:03,  4.69it/s]\n 43%|████▎     | 13/30 [00:02<00:03,  4.70it/s]\n 47%|████▋     | 14/30 [00:03<00:03,  4.70it/s]\n 50%|█████     | 15/30 [00:03<00:03,  4.71it/s]\n 53%|█████▎    | 16/30 [00:03<00:02,  4.71it/s]\n 57%|█████▋    | 17/30 [00:03<00:02,  4.71it/s]\n 60%|██████    | 18/30 [00:03<00:02,  4.71it/s]\n 63%|██████▎   | 19/30 [00:04<00:02,  4.71it/s]\n 67%|██████▋   | 20/30 [00:04<00:02,  4.71it/s]\n 70%|███████   | 21/30 [00:04<00:01,  4.71it/s]\n 73%|███████▎  | 22/30 [00:04<00:01,  4.72it/s]\n 77%|███████▋  | 23/30 [00:05<00:01,  4.72it/s]\n 80%|████████  | 24/30 [00:05<00:01,  4.71it/s]\n 83%|████████▎ | 25/30 [00:05<00:01,  4.72it/s]\n 87%|████████▋ | 26/30 [00:05<00:00,  4.72it/s]\n 90%|█████████ | 27/30 [00:05<00:00,  4.72it/s]\n 93%|█████████▎| 28/30 [00:06<00:00,  4.72it/s]\n 97%|█████████▋| 29/30 [00:06<00:00,  4.72it/s]\n100%|██████████| 30/30 [00:06<00:00,  4.72it/s]\n100%|██████████| 30/30 [00:06<00:00,  4.61it/s]",
  "metrics": {
    "predict_time": 15.296488192,
    "total_time": 281.187058
  },
  "output": "https://replicate.delivery/yhqm/t9d3ozvp4ba9CtRsgScRCY0AtAvDG8DJW9fF3CK6OecFfw2oA/output.png",
  "started_at": "2025-03-23T09:34:45.901570Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/yswh-s5hxtt43nor2bclber7hzqu3rpersyic46n4zbt3zgr57tgd2peq",
    "get": "https://api.replicate.com/v1/predictions/vtgmkxnzxdrj60cnr9b8kh1jng",
    "cancel": "https://api.replicate.com/v1/predictions/vtgmkxnzxdrj60cnr9b8kh1jng/cancel"
  },
  "version": "5310130b210862f0f4c222c5f67d1e0ccde3b1aaf4a3abb2918cad7d3f2dce4b"
}

Generated in

15.3 seconds

Tweak it ShareReport

Running prediction...
Using seed: 22573
Clearing CUDA cache before prediction
Loading model: PerfectDeliberate v5.0
Loading from /src/model/perfectdeliberate.safetensors
`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["id2label"]` will be overriden.
`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["bos_token_id"]` will be overriden.
`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["eos_token_id"]` will be overriden.
/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
warnings.warn(
Using DPMPP_2M sampler with default configuration
No LoRAs selected
Running txt2img...
Enabling attention slicing for high resolution generation
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