shap-e running on replicate a100
Run this model in Node.js with one line of code:
npm install replicateREPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run yosun/a100-shap-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"yosun/a100-shap-e:713768a1142668b96c8552bbf47ef2b68898cf2455d78a378356ca84aee2135a",
{
input: {
prompt: "superhuman",
save_mesh: true,
batch_size: 1,
render_mode: "nerf",
render_size: 128,
guidance_scale: 15
}
}
);
// 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.
pip install replicateREPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
import replicateRun yosun/a100-shap-e using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"yosun/a100-shap-e:713768a1142668b96c8552bbf47ef2b68898cf2455d78a378356ca84aee2135a",
input={
"prompt": "superhuman",
"save_mesh": True,
"batch_size": 1,
"render_mode": "nerf",
"render_size": 128,
"guidance_scale": 15
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run yosun/a100-shap-e 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": "713768a1142668b96c8552bbf47ef2b68898cf2455d78a378356ca84aee2135a",
"input": {
"prompt": "superhuman",
"save_mesh": true,
"batch_size": 1,
"render_mode": "nerf",
"render_size": 128,
"guidance_scale": 15
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/yosun/a100-shap-e@sha256:713768a1142668b96c8552bbf47ef2b68898cf2455d78a378356ca84aee2135a \
-i 'prompt="superhuman"' \
-i 'save_mesh=true' \
-i 'batch_size=1' \
-i 'render_mode="nerf"' \
-i 'render_size=128' \
-i 'guidance_scale=15'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/yosun/a100-shap-e@sha256:713768a1142668b96c8552bbf47ef2b68898cf2455d78a378356ca84aee2135acurl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "superhuman", "save_mesh": true, "batch_size": 1, "render_mode": "nerf", "render_size": 128, "guidance_scale": 15 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
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terms of service and privacy policy
{
"completed_at": "2024-03-15T05:35:51.634931Z",
"created_at": "2024-03-15T05:31:59.704065Z",
"data_removed": false,
"error": null,
"id": "2mqcvdzbyaozk4c4a2vmglc5g4",
"input": {
"prompt": "superhuman",
"save_mesh": true,
"batch_size": 1,
"render_mode": "nerf",
"render_size": 128,
"guidance_scale": 15
},
"logs": "0%| | 0/64 [00:00<?, ?it/s]\n 3%|▎ | 2/64 [00:00<00:05, 11.59it/s]\n 6%|▋ | 4/64 [00:00<00:04, 12.75it/s]\n 9%|▉ | 6/64 [00:00<00:04, 13.18it/s]\n 12%|█▎ | 8/64 [00:00<00:04, 13.38it/s]\n 16%|█▌ | 10/64 [00:00<00:03, 13.50it/s]\n 19%|█▉ | 12/64 [00:00<00:03, 13.35it/s]\n 22%|██▏ | 14/64 [00:01<00:03, 13.48it/s]\n 25%|██▌ | 16/64 [00:01<00:03, 13.54it/s]\n 28%|██▊ | 18/64 [00:01<00:03, 13.59it/s]\n 31%|███▏ | 20/64 [00:01<00:03, 13.63it/s]\n 34%|███▍ | 22/64 [00:01<00:03, 13.66it/s]\n 38%|███▊ | 24/64 [00:01<00:02, 13.66it/s]\n 41%|████ | 26/64 [00:01<00:02, 13.53it/s]\n 44%|████▍ | 28/64 [00:02<00:02, 13.60it/s]\n 47%|████▋ | 30/64 [00:02<00:02, 13.65it/s]\n 50%|█████ | 32/64 [00:02<00:02, 13.67it/s]\n 53%|█████▎ | 34/64 [00:02<00:02, 13.68it/s]\n 56%|█████▋ | 36/64 [00:02<00:02, 13.69it/s]\n 59%|█████▉ | 38/64 [00:02<00:01, 13.70it/s]\n 62%|██████▎ | 40/64 [00:02<00:01, 13.61it/s]\n 66%|██████▌ | 42/64 [00:03<00:01, 13.66it/s]\n 69%|██████▉ | 44/64 [00:03<00:01, 13.69it/s]\n 72%|███████▏ | 46/64 [00:03<00:01, 13.70it/s]\n 75%|███████▌ | 48/64 [00:03<00:01, 13.65it/s]\n 78%|███████▊ | 50/64 [00:03<00:01, 13.68it/s]\n 81%|████████▏ | 52/64 [00:03<00:00, 13.71it/s]\n 84%|████████▍ | 54/64 [00:03<00:00, 13.60it/s]\n 88%|████████▊ | 56/64 [00:04<00:00, 13.66it/s]\n 91%|█████████ | 58/64 [00:04<00:00, 13.65it/s]\n 94%|█████████▍| 60/64 [00:04<00:00, 13.71it/s]\n 97%|█████████▋| 62/64 [00:04<00:00, 13.74it/s]\n100%|██████████| 64/64 [00:04<00:00, 14.87it/s]\n100%|██████████| 64/64 [00:04<00:00, 13.70it/s]\n/src/shap_e/models/stf/renderer.py:286: UserWarning: exception rendering with PyTorch3D: No module named 'pytorch3d'\nwarnings.warn(f\"exception rendering with PyTorch3D: {exc}\")\n/src/shap_e/models/stf/renderer.py:287: UserWarning: falling back on native PyTorch renderer, which does not support full gradients\nwarnings.warn(",
"metrics": {
"predict_time": 14.72322,
"total_time": 231.930866
},
"output": [
"https://replicate.delivery/pbxt/B59iKIoejn0vHyl1p8pV9BUs1gyuAQ88qWwi2acBklf3AZgSA/out_0.gif",
"https://replicate.delivery/pbxt/ZOuqWM4pLXaiPd4jYcgu1WtnXbAE4jrfNUqiIA45CU6bgMQJA/mesh_0.obj"
],
"started_at": "2024-03-15T05:35:36.911711Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/2mqcvdzbyaozk4c4a2vmglc5g4",
"cancel": "https://api.replicate.com/v1/predictions/2mqcvdzbyaozk4c4a2vmglc5g4/cancel"
},
"version": "713768a1142668b96c8552bbf47ef2b68898cf2455d78a378356ca84aee2135a"
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/src/shap_e/models/stf/renderer.py:286: UserWarning: exception rendering with PyTorch3D: No module named 'pytorch3d'
warnings.warn(f"exception rendering with PyTorch3D: {exc}")
/src/shap_e/models/stf/renderer.py:287: UserWarning: falling back on native PyTorch renderer, which does not support full gradients
warnings.warn(This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.
This 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.
Choose a file from your machine
Hint: you can also drag files onto the input
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/src/shap_e/models/stf/renderer.py:286: UserWarning: exception rendering with PyTorch3D: No module named 'pytorch3d'
warnings.warn(f"exception rendering with PyTorch3D: {exc}")
/src/shap_e/models/stf/renderer.py:287: UserWarning: falling back on native PyTorch renderer, which does not support full gradients
warnings.warn(