Implementation of SDXL RealVisXL_V1.0 img2img
{
"seed": 34159,
"image": "https://replicate.delivery/pbxt/JnprwoOEx0GWmES7zUhlJtyXQXDWNCADH2boErFsmqbxEWtw/demo.jpg",
"prompt": "a latina woman with a pearl earring",
"strength": 0.85,
"scheduler": "DPMSolverMultistep",
"guidance_scale": 9.5,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 48
}npm install replicateimport Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run lucataco/realvisxl-v1-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/realvisxl-v1-img2img:0b4e29141bdafa24f6551c83f4cc326ddbae0b85fb0c1083e8e626a2f2714286",
{
input: {
seed: 34159,
image: "https://replicate.delivery/pbxt/JnprwoOEx0GWmES7zUhlJtyXQXDWNCADH2boErFsmqbxEWtw/demo.jpg",
prompt: "a latina woman with a pearl earring",
strength: 0.85,
scheduler: "DPMSolverMultistep",
guidance_scale: 9.5,
negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
num_inference_steps: 48
}
}
);
// 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.
pip install replicateimport replicateRun lucataco/realvisxl-v1-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/realvisxl-v1-img2img:0b4e29141bdafa24f6551c83f4cc326ddbae0b85fb0c1083e8e626a2f2714286",
input={
"seed": 34159,
"image": "https://replicate.delivery/pbxt/JnprwoOEx0GWmES7zUhlJtyXQXDWNCADH2boErFsmqbxEWtw/demo.jpg",
"prompt": "a latina woman with a pearl earring",
"strength": 0.85,
"scheduler": "DPMSolverMultistep",
"guidance_scale": 9.5,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 48
}
)
# To access the file URL:
print(output.url())
#=> "http://example.com"
# To write the file to disk:
with open("my-image.png", "wb") as file:
file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run lucataco/realvisxl-v1-img2img 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": "lucataco/realvisxl-v1-img2img:0b4e29141bdafa24f6551c83f4cc326ddbae0b85fb0c1083e8e626a2f2714286",
"input": {
"seed": 34159,
"image": "https://replicate.delivery/pbxt/JnprwoOEx0GWmES7zUhlJtyXQXDWNCADH2boErFsmqbxEWtw/demo.jpg",
"prompt": "a latina woman with a pearl earring",
"strength": 0.85,
"scheduler": "DPMSolverMultistep",
"guidance_scale": 9.5,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 48
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
{
"completed_at": "2023-11-01T19:46:40.857956Z",
"created_at": "2023-11-01T19:46:33.387456Z",
"data_removed": false,
"error": null,
"id": "taktsolb5hrphij5wsj33exqbi",
"input": {
"seed": 34159,
"image": "https://replicate.delivery/pbxt/JnprwoOEx0GWmES7zUhlJtyXQXDWNCADH2boErFsmqbxEWtw/demo.jpg",
"prompt": "a latina woman with a pearl earring",
"strength": 0.85,
"scheduler": "DPMSolverMultistep",
"guidance_scale": 9.5,
"negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
"num_inference_steps": 48
},
"logs": "Using seed: 34159\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 6.65it/s]\n 5%|▌ | 2/40 [00:00<00:05, 6.63it/s]\n 8%|▊ | 3/40 [00:00<00:05, 6.60it/s]\n 10%|█ | 4/40 [00:00<00:05, 6.59it/s]\n 12%|█▎ | 5/40 [00:00<00:05, 6.59it/s]\n 15%|█▌ | 6/40 [00:00<00:05, 6.58it/s]\n 18%|█▊ | 7/40 [00:01<00:05, 6.59it/s]\n 20%|██ | 8/40 [00:01<00:04, 6.58it/s]\n 22%|██▎ | 9/40 [00:01<00:04, 6.59it/s]\n 25%|██▌ | 10/40 [00:01<00:04, 6.61it/s]\n 28%|██▊ | 11/40 [00:01<00:04, 6.62it/s]\n 30%|███ | 12/40 [00:01<00:04, 6.62it/s]\n 32%|███▎ | 13/40 [00:01<00:04, 6.63it/s]\n 35%|███▌ | 14/40 [00:02<00:03, 6.64it/s]\n 38%|███▊ | 15/40 [00:02<00:03, 6.64it/s]\n 40%|████ | 16/40 [00:02<00:03, 6.64it/s]\n 42%|████▎ | 17/40 [00:02<00:03, 6.63it/s]\n 45%|████▌ | 18/40 [00:02<00:03, 6.64it/s]\n 48%|████▊ | 19/40 [00:02<00:03, 6.64it/s]\n 50%|█████ | 20/40 [00:03<00:03, 6.64it/s]\n 52%|█████▎ | 21/40 [00:03<00:02, 6.64it/s]\n 55%|█████▌ | 22/40 [00:03<00:02, 6.64it/s]\n 57%|█████▊ | 23/40 [00:03<00:02, 6.63it/s]\n 60%|██████ | 24/40 [00:03<00:02, 6.62it/s]\n 62%|██████▎ | 25/40 [00:03<00:02, 6.62it/s]\n 65%|██████▌ | 26/40 [00:03<00:02, 6.62it/s]\n 68%|██████▊ | 27/40 [00:04<00:01, 6.63it/s]\n 70%|███████ | 28/40 [00:04<00:01, 6.63it/s]\n 72%|███████▎ | 29/40 [00:04<00:01, 6.63it/s]\n 75%|███████▌ | 30/40 [00:04<00:01, 6.63it/s]\n 78%|███████▊ | 31/40 [00:04<00:01, 6.63it/s]\n 80%|████████ | 32/40 [00:04<00:01, 6.63it/s]\n 82%|████████▎ | 33/40 [00:04<00:01, 6.63it/s]\n 85%|████████▌ | 34/40 [00:05<00:00, 6.63it/s]\n 88%|████████▊ | 35/40 [00:05<00:00, 6.63it/s]\n 90%|█████████ | 36/40 [00:05<00:00, 6.62it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 6.62it/s]\n 95%|█████████▌| 38/40 [00:05<00:00, 6.63it/s]\n 98%|█████████▊| 39/40 [00:05<00:00, 6.63it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.63it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.62it/s]",
"metrics": {
"predict_time": 7.382043,
"total_time": 7.4705
},
"output": "https://replicate.delivery/pbxt/9giEGfSbl9zRTCkHvfOvjPfaQ2igN1vGJJR5sfYDmQ3BSXQHB/output.png",
"started_at": "2023-11-01T19:46:33.475913Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/taktsolb5hrphij5wsj33exqbi",
"cancel": "https://api.replicate.com/v1/predictions/taktsolb5hrphij5wsj33exqbi/cancel"
},
"version": "0b4e29141bdafa24f6551c83f4cc326ddbae0b85fb0c1083e8e626a2f2714286"
}Using seed: 34159
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100%|██████████| 40/40 [00:06<00:00, 6.62it/s]Want to make some of these yourself?
Run this modelThis 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.
This model runs on L40S. View more.
Using seed: 34159
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