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camenduru /open-sora-plan-512x512:83b03885
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=camenduru/open-sora-plan-512x512
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 camenduru/open-sora-plan-512x512 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"camenduru/open-sora-plan-512x512:83b03885f983bd923e70afa5a51e2369d55aa34d2439014a484df3107a4322ca",
{
input: {
seed: 0,
prompt: "a serene winter scene in a forest. The forest is blanketed in a thick layer of snow, which has settled on the branches of the trees, creating a canopy of white. The trees, a mix of evergreens and deciduous, stand tall and silent, their forms partially obscured by the snow. The ground is a uniform white, with no visible tracks or signs of human activity. The sun is low in the sky, casting a warm glow that contrasts with the cool tones of the snow. The light filters through the trees, creating a soft, diffused illumination that highlights the texture of the snow and the contours of the trees. The overall style of the scene is naturalistic, with a focus on the tranquility and beauty of the winter landscape.",
force_images: false,
sample_steps: 50,
guidance_scale: 10,
randomize_seed: true
}
}
);
console.log(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 camenduru/open-sora-plan-512x512 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"camenduru/open-sora-plan-512x512:83b03885f983bd923e70afa5a51e2369d55aa34d2439014a484df3107a4322ca",
input={
"seed": 0,
"prompt": "a serene winter scene in a forest. The forest is blanketed in a thick layer of snow, which has settled on the branches of the trees, creating a canopy of white. The trees, a mix of evergreens and deciduous, stand tall and silent, their forms partially obscured by the snow. The ground is a uniform white, with no visible tracks or signs of human activity. The sun is low in the sky, casting a warm glow that contrasts with the cool tones of the snow. The light filters through the trees, creating a soft, diffused illumination that highlights the texture of the snow and the contours of the trees. The overall style of the scene is naturalistic, with a focus on the tranquility and beauty of the winter landscape.",
"force_images": False,
"sample_steps": 50,
"guidance_scale": 10,
"randomize_seed": True
}
)
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 camenduru/open-sora-plan-512x512 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": "83b03885f983bd923e70afa5a51e2369d55aa34d2439014a484df3107a4322ca",
"input": {
"seed": 0,
"prompt": "a serene winter scene in a forest. The forest is blanketed in a thick layer of snow, which has settled on the branches of the trees, creating a canopy of white. The trees, a mix of evergreens and deciduous, stand tall and silent, their forms partially obscured by the snow. The ground is a uniform white, with no visible tracks or signs of human activity. The sun is low in the sky, casting a warm glow that contrasts with the cool tones of the snow. The light filters through the trees, creating a soft, diffused illumination that highlights the texture of the snow and the contours of the trees. The overall style of the scene is naturalistic, with a focus on the tranquility and beauty of the winter landscape.",
"force_images": false,
"sample_steps": 50,
"guidance_scale": 10,
"randomize_seed": true
}
}' \
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.
Sign in with GitHub
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terms of service and privacy policy
Output
{
"completed_at": "2024-04-07T14:35:23.864186Z",
"created_at": "2024-04-07T14:30:05.798000Z",
"data_removed": false,
"error": null,
"id": "73nyha38wsrge0ceq3vsd0a2mw",
"input": {
"seed": 0,
"prompt": "a serene winter scene in a forest. The forest is blanketed in a thick layer of snow, which has settled on the branches of the trees, creating a canopy of white. The trees, a mix of evergreens and deciduous, stand tall and silent, their forms partially obscured by the snow. The ground is a uniform white, with no visible tracks or signs of human activity. The sun is low in the sky, casting a warm glow that contrasts with the cool tones of the snow. The light filters through the trees, creating a soft, diffused illumination that highlights the texture of the snow and the contours of the trees. The overall style of the scene is naturalistic, with a focus on the tranquility and beauty of the winter landscape.",
"force_images": false,
"sample_steps": 50,
"guidance_scale": 10,
"randomize_seed": true
},
"logs": "Setting `clean_caption=True` requires the ftfy library but it was not found in your environment. Checkout the instructions on the\ninstallation section: https://github.com/rspeer/python-ftfy/tree/master#installing and follow the ones\nthat match your environment. Please note that you may need to restart your runtime after installation.\nSetting `clean_caption` to False...\nSetting `clean_caption=True` requires the ftfy library but it was not found in your environment. Checkout the instructions on the\ninstallation section: https://github.com/rspeer/python-ftfy/tree/master#installing and follow the ones\nthat match your environment. Please note that you may need to restart your runtime after installation.\nSetting `clean_caption` to False...\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:06<05:11, 6.35s/it]\n 4%|▍ | 2/50 [00:06<02:23, 2.99s/it]\n 6%|▌ | 3/50 [00:07<01:29, 1.91s/it]\n 8%|▊ | 4/50 [00:08<01:04, 1.41s/it]\n 10%|█ | 5/50 [00:08<00:50, 1.13s/it]\n 12%|█▏ | 6/50 [00:09<00:42, 1.04it/s]\n 14%|█▍ | 7/50 [00:10<00:36, 1.17it/s]\n 16%|█▌ | 8/50 [00:10<00:33, 1.27it/s]\n 18%|█▊ | 9/50 [00:11<00:30, 1.35it/s]\n 20%|██ | 10/50 [00:12<00:28, 1.41it/s]\n 22%|██▏ | 11/50 [00:12<00:26, 1.46it/s]\n 24%|██▍ | 12/50 [00:13<00:25, 1.49it/s]\n 26%|██▌ | 13/50 [00:13<00:24, 1.51it/s]\n 28%|██▊ | 14/50 [00:14<00:23, 1.53it/s]\n 30%|███ | 15/50 [00:15<00:22, 1.54it/s]\n 32%|███▏ | 16/50 [00:15<00:21, 1.55it/s]\n 34%|███▍ | 17/50 [00:16<00:21, 1.56it/s]\n 36%|███▌ | 18/50 [00:17<00:20, 1.56it/s]\n 38%|███▊ | 19/50 [00:17<00:19, 1.56it/s]\n 40%|████ | 20/50 [00:18<00:19, 1.57it/s]\n 42%|████▏ | 21/50 [00:19<00:18, 1.57it/s]\n 44%|████▍ | 22/50 [00:19<00:17, 1.57it/s]\n 46%|████▌ | 23/50 [00:20<00:17, 1.57it/s]\n 48%|████▊ | 24/50 [00:20<00:16, 1.57it/s]\n 50%|█████ | 25/50 [00:21<00:15, 1.57it/s]\n 52%|█████▏ | 26/50 [00:22<00:15, 1.57it/s]\n 54%|█████▍ | 27/50 [00:22<00:14, 1.57it/s]\n 56%|█████▌ | 28/50 [00:23<00:14, 1.57it/s]\n 58%|█████▊ | 29/50 [00:24<00:13, 1.57it/s]\n 60%|██████ | 30/50 [00:24<00:12, 1.57it/s]\n 62%|██████▏ | 31/50 [00:25<00:12, 1.57it/s]\n 64%|██████▍ | 32/50 [00:26<00:11, 1.57it/s]\n 66%|██████▌ | 33/50 [00:26<00:10, 1.57it/s]\n 68%|██████▊ | 34/50 [00:27<00:10, 1.57it/s]\n 70%|███████ | 35/50 [00:27<00:09, 1.57it/s]\n 72%|███████▏ | 36/50 [00:28<00:08, 1.57it/s]\n 74%|███████▍ | 37/50 [00:29<00:08, 1.57it/s]\n 76%|███████▌ | 38/50 [00:29<00:07, 1.57it/s]\n 78%|███████▊ | 39/50 [00:30<00:07, 1.57it/s]\n 80%|████████ | 40/50 [00:31<00:06, 1.57it/s]\n 82%|████████▏ | 41/50 [00:31<00:05, 1.57it/s]\n 84%|████████▍ | 42/50 [00:32<00:05, 1.57it/s]\n 86%|████████▌ | 43/50 [00:33<00:04, 1.57it/s]\n 88%|████████▊ | 44/50 [00:33<00:03, 1.57it/s]\n 90%|█████████ | 45/50 [00:34<00:03, 1.57it/s]\n 92%|█████████▏| 46/50 [00:34<00:02, 1.57it/s]\n 94%|█████████▍| 47/50 [00:35<00:01, 1.57it/s]\n 96%|█████████▌| 48/50 [00:36<00:01, 1.57it/s]\n 98%|█████████▊| 49/50 [00:36<00:00, 1.57it/s]\n100%|██████████| 50/50 [00:37<00:00, 1.57it/s]\n100%|██████████| 50/50 [00:37<00:00, 1.33it/s]",
"metrics": {
"predict_time": 43.785059,
"total_time": 318.066186
},
"output": "https://replicate.delivery/pbxt/8aqJfwmMJyyHCCnPwfH24zrT06irkhaL2orBq9RN1CXrEGoSA/tmp.mp4",
"started_at": "2024-04-07T14:34:40.079127Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/73nyha38wsrge0ceq3vsd0a2mw",
"cancel": "https://api.replicate.com/v1/predictions/73nyha38wsrge0ceq3vsd0a2mw/cancel"
},
"version": "83b03885f983bd923e70afa5a51e2369d55aa34d2439014a484df3107a4322ca"
}Generated in
Setting `clean_caption=True` requires the ftfy library but it was not found in your environment. Checkout the instructions on the
installation section: https://github.com/rspeer/python-ftfy/tree/master#installing and follow the ones
that match your environment. Please note that you may need to restart your runtime after installation.
Setting `clean_caption` to False...
Setting `clean_caption=True` requires the ftfy library but it was not found in your environment. Checkout the instructions on the
installation section: https://github.com/rspeer/python-ftfy/tree/master#installing and follow the ones
that match your environment. Please note that you may need to restart your runtime after installation.
Setting `clean_caption` to False...
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