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cjwbw /diffedit-stable-diffusion:8c51da11
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=cjwbw/diffedit-stable-diffusion
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run cjwbw/diffedit-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/diffedit-stable-diffusion:8c51da11578f75df306db64e27fd337b8b18de902f49b4404b0b340dced96f48",
{
input: {
image: "https://replicate.delivery/pbxt/IyIBdgYw3DehQHUxK1t0dkX5vmS7QYqzgHmeEYGaxSv4uDUE/origin.png",
source_prompt: "a bowl of fruits",
target_prompt: "a basket of fruits",
guidance_scale: 7.5,
num_inference_steps: 50
}
}
);
// 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 replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun cjwbw/diffedit-stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"cjwbw/diffedit-stable-diffusion:8c51da11578f75df306db64e27fd337b8b18de902f49b4404b0b340dced96f48",
input={
"image": "https://replicate.delivery/pbxt/IyIBdgYw3DehQHUxK1t0dkX5vmS7QYqzgHmeEYGaxSv4uDUE/origin.png",
"source_prompt": "a bowl of fruits",
"target_prompt": "a basket of fruits",
"guidance_scale": 7.5,
"num_inference_steps": 50
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run cjwbw/diffedit-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": "cjwbw/diffedit-stable-diffusion:8c51da11578f75df306db64e27fd337b8b18de902f49b4404b0b340dced96f48",
"input": {
"image": "https://replicate.delivery/pbxt/IyIBdgYw3DehQHUxK1t0dkX5vmS7QYqzgHmeEYGaxSv4uDUE/origin.png",
"source_prompt": "a bowl of fruits",
"target_prompt": "a basket of fruits",
"guidance_scale": 7.5,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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terms of service and privacy policy
Output
{
"completed_at": "2023-06-09T14:47:52.403818Z",
"created_at": "2023-06-09T14:43:56.305702Z",
"data_removed": false,
"error": null,
"id": "vra43nyuunhdxeb7jhipbjux6m",
"input": {
"image": "https://replicate.delivery/pbxt/IyIBdgYw3DehQHUxK1t0dkX5vmS7QYqzgHmeEYGaxSv4uDUE/origin.png",
"source_prompt": "a bowl of fruits",
"target_prompt": "a basket of fruits",
"guidance_scale": 7.5,
"num_inference_steps": 50
},
"logs": "Using seed: 43695\n/root/.pyenv/versions/3.10.12/lib/python3.10/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_diffedit.py:162: FutureWarning: The preprocess method is deprecated and will be removed in a future version. Please use VaeImageProcessor.preprocess instead\nwarnings.warn(\n 0%| | 0/39 [00:00<?, ?it/s]\n 3%|▎ | 1/39 [00:01<00:49, 1.31s/it]\n 5%|▌ | 2/39 [00:01<00:27, 1.33it/s]\n 8%|▊ | 3/39 [00:01<00:20, 1.80it/s]\n 10%|█ | 4/39 [00:02<00:16, 2.15it/s]\n 13%|█▎ | 5/39 [00:02<00:14, 2.42it/s]\n 15%|█▌ | 6/39 [00:02<00:12, 2.62it/s]\n 18%|█▊ | 7/39 [00:03<00:11, 2.77it/s]\n 21%|██ | 8/39 [00:03<00:10, 2.87it/s]\n 23%|██▎ | 9/39 [00:03<00:10, 2.94it/s]\n 26%|██▌ | 10/39 [00:04<00:09, 2.98it/s]\n 28%|██▊ | 11/39 [00:04<00:09, 3.04it/s]\n 31%|███ | 12/39 [00:04<00:08, 3.06it/s]\n 33%|███▎ | 13/39 [00:05<00:08, 3.07it/s]\n 36%|███▌ | 14/39 [00:05<00:08, 3.09it/s]\n 38%|███▊ | 15/39 [00:05<00:07, 3.09it/s]\n 41%|████ | 16/39 [00:06<00:07, 3.05it/s]\n 44%|████▎ | 17/39 [00:06<00:07, 3.07it/s]\n 46%|████▌ | 18/39 [00:06<00:06, 3.07it/s]\n 49%|████▊ | 19/39 [00:07<00:06, 3.08it/s]\n 51%|█████▏ | 20/39 [00:07<00:06, 3.07it/s]\n 54%|█████▍ | 21/39 [00:07<00:05, 3.08it/s]\n 56%|█████▋ | 22/39 [00:08<00:05, 3.08it/s]\n 59%|█████▉ | 23/39 [00:08<00:05, 3.09it/s]\n 62%|██████▏ | 24/39 [00:08<00:04, 3.08it/s]\n 64%|██████▍ | 25/39 [00:09<00:04, 3.09it/s]\n 67%|██████▋ | 26/39 [00:09<00:04, 3.09it/s]\n 69%|██████▉ | 27/39 [00:09<00:03, 3.09it/s]\n 72%|███████▏ | 28/39 [00:10<00:03, 3.09it/s]\n 74%|███████▍ | 29/39 [00:10<00:03, 3.09it/s]\n 77%|███████▋ | 30/39 [00:10<00:02, 3.08it/s]\n 79%|███████▉ | 31/39 [00:11<00:02, 3.10it/s]\n 82%|████████▏ | 32/39 [00:11<00:02, 3.11it/s]\n 85%|████████▍ | 33/39 [00:11<00:01, 3.10it/s]\n 87%|████████▋ | 34/39 [00:12<00:01, 3.10it/s]\n 90%|████████▉ | 35/39 [00:12<00:01, 3.09it/s]\n 92%|█████████▏| 36/39 [00:12<00:00, 3.09it/s]\n 95%|█████████▍| 37/39 [00:12<00:00, 3.10it/s]\n 97%|█████████▋| 38/39 [00:13<00:00, 3.09it/s]\n100%|██████████| 39/39 [00:13<00:00, 3.08it/s]\n100%|██████████| 39/39 [00:13<00:00, 2.86it/s]\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:23, 1.69it/s]\n 5%|▌ | 2/40 [00:00<00:16, 2.30it/s]\n 8%|▊ | 3/40 [00:01<00:14, 2.58it/s]\n 10%|█ | 4/40 [00:01<00:13, 2.75it/s]\n 12%|█▎ | 5/40 [00:01<00:12, 2.85it/s]\n 15%|█▌ | 6/40 [00:02<00:11, 2.93it/s]\n 18%|█▊ | 7/40 [00:02<00:10, 3.01it/s]\n 20%|██ | 8/40 [00:02<00:10, 3.00it/s]\n 22%|██▎ | 9/40 [00:03<00:10, 3.03it/s]\n 25%|██▌ | 10/40 [00:03<00:09, 3.05it/s]\n 28%|██▊ | 11/40 [00:03<00:09, 3.06it/s]\n 30%|███ | 12/40 [00:04<00:09, 3.07it/s]\n 32%|███▎ | 13/40 [00:04<00:08, 3.08it/s]\n 35%|███▌ | 14/40 [00:04<00:08, 3.09it/s]\n 38%|███▊ | 15/40 [00:05<00:08, 3.09it/s]\n 40%|████ | 16/40 [00:05<00:07, 3.08it/s]\n 42%|████▎ | 17/40 [00:05<00:07, 3.08it/s]\n 45%|████▌ | 18/40 [00:06<00:07, 3.07it/s]\n 48%|████▊ | 19/40 [00:06<00:06, 3.07it/s]\n 50%|█████ | 20/40 [00:06<00:06, 3.08it/s]\n 52%|█████▎ | 21/40 [00:07<00:06, 3.07it/s]\n 55%|█████▌ | 22/40 [00:07<00:05, 3.06it/s]\n 57%|█████▊ | 23/40 [00:07<00:05, 3.06it/s]\n 60%|██████ | 24/40 [00:08<00:05, 3.06it/s]\n 62%|██████▎ | 25/40 [00:08<00:04, 3.01it/s]\n 65%|██████▌ | 26/40 [00:08<00:04, 3.03it/s]\n 68%|██████▊ | 27/40 [00:09<00:04, 3.04it/s]\n 70%|███████ | 28/40 [00:09<00:03, 3.04it/s]\n 72%|███████▎ | 29/40 [00:09<00:03, 3.05it/s]\n 75%|███████▌ | 30/40 [00:10<00:03, 3.04it/s]\n 78%|███████▊ | 31/40 [00:10<00:02, 3.05it/s]\n 80%|████████ | 32/40 [00:10<00:02, 3.06it/s]\n 82%|████████▎ | 33/40 [00:11<00:02, 3.07it/s]\n 85%|████████▌ | 34/40 [00:11<00:01, 3.08it/s]\n 88%|████████▊ | 35/40 [00:11<00:01, 3.08it/s]\n 90%|█████████ | 36/40 [00:12<00:01, 3.08it/s]\n 92%|█████████▎| 37/40 [00:12<00:00, 3.06it/s]\n 95%|█████████▌| 38/40 [00:12<00:00, 3.04it/s]\n 98%|█████████▊| 39/40 [00:13<00:00, 3.03it/s]\n100%|██████████| 40/40 [00:13<00:00, 3.03it/s]\n100%|██████████| 40/40 [00:13<00:00, 3.00it/s]",
"metrics": {
"predict_time": 44.264369,
"total_time": 236.098116
},
"output": "https://replicate.delivery/pbxt/uQL969AiMJ6GIdI3iO2sxFik9amSKgpC3e0Tef4O1ohvsdIiA/out.png",
"started_at": "2023-06-09T14:47:08.139449Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/vra43nyuunhdxeb7jhipbjux6m",
"cancel": "https://api.replicate.com/v1/predictions/vra43nyuunhdxeb7jhipbjux6m/cancel"
},
"version": "8c51da11578f75df306db64e27fd337b8b18de902f49b4404b0b340dced96f48"
}Generated in
Using seed: 43695
/root/.pyenv/versions/3.10.12/lib/python3.10/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_diffedit.py:162: FutureWarning: The preprocess method is deprecated and will be removed in a future version. Please use VaeImageProcessor.preprocess instead
warnings.warn(
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