Readme
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Model description
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Intended use
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Ethical considerations
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Caveats and recommendations
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andreasjansson
/
deepfloyd-if
The DeepFloyd IF model has been initially released as a non-commercial research-only model. Please make sure you read and abide to the license before using it.
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=andreasjansson/deepfloyd-if
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 andreasjansson/deepfloyd-if using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"andreasjansson/deepfloyd-if:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d",
{
input: {
seed: 1,
prompt: "anime astronaut riding a horse on mars"
}
}
);
// 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 andreasjansson/deepfloyd-if using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"andreasjansson/deepfloyd-if:fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d",
input={
"seed": 1,
"prompt": "anime astronaut riding a horse on mars"
}
)
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 andreasjansson/deepfloyd-if 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": "fb84d659df149f4515c351e394d22222a94144aa1403870c36025c8b28846c8d",
"input": {
"seed": 1,
"prompt": "anime astronaut riding a horse on mars"
}
}' \
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
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2023-04-28T19:18:02.547701Z",
"created_at": "2023-04-28T19:17:15.654917Z",
"data_removed": false,
"error": null,
"id": "ddoxxuloojfetbzu2mfkmmnbcu",
"input": {
"seed": 1,
"prompt": "anime astronaut riding a horse on mars"
},
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"metrics": {
"predict_time": 46.850276,
"total_time": 46.892784
},
"output": "https://replicate.delivery/pbxt/KgfeOYshHUjf3JWOiY1PKDGdLV16PRIMAkGuujoqBjGTv5shA/out.png",
"started_at": "2023-04-28T19:17:15.697425Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/ddoxxuloojfetbzu2mfkmmnbcu",
"cancel": "https://api.replicate.com/v1/predictions/ddoxxuloojfetbzu2mfkmmnbcu/cancel"
},
"version": "642dcbffc8e8a3522242a4d4b8f3159470bf86a3eb7ccf852337cdc6440698c2"
}Generated in
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8%|▊ | 6/75 [00:00<00:08, 8.50it/s]
9%|▉ | 7/75 [00:00<00:07, 8.87it/s]
11%|█ | 8/75 [00:01<00:07, 9.12it/s]
12%|█▏ | 9/75 [00:01<00:07, 9.32it/s]
13%|█▎ | 10/75 [00:01<00:06, 9.47it/s]
15%|█▍ | 11/75 [00:01<00:06, 9.57it/s]
16%|█▌ | 12/75 [00:01<00:06, 9.62it/s]
17%|█▋ | 13/75 [00:01<00:06, 9.68it/s]
19%|█▊ | 14/75 [00:01<00:06, 9.72it/s]
20%|██ | 15/75 [00:01<00:06, 9.74it/s]
21%|██▏ | 16/75 [00:01<00:06, 9.75it/s]
23%|██▎ | 17/75 [00:02<00:05, 9.77it/s]
24%|██▍ | 18/75 [00:02<00:05, 9.76it/s]
25%|██▌ | 19/75 [00:02<00:05, 9.77it/s]
27%|██▋ | 20/75 [00:02<00:05, 9.79it/s]
28%|██▊ | 21/75 [00:02<00:05, 9.80it/s]
29%|██▉ | 22/75 [00:02<00:05, 9.80it/s]
31%|███ | 23/75 [00:02<00:05, 9.81it/s]
32%|███▏ | 24/75 [00:02<00:05, 9.82it/s]
33%|███▎ | 25/75 [00:02<00:05, 9.81it/s]
35%|███▍ | 26/75 [00:02<00:04, 9.82it/s]
36%|███▌ | 27/75 [00:03<00:04, 9.81it/s]
37%|███▋ | 28/75 [00:03<00:04, 9.82it/s]
39%|███▊ | 29/75 [00:03<00:04, 9.81it/s]
40%|████ | 30/75 [00:03<00:04, 9.82it/s]
41%|████▏ | 31/75 [00:03<00:04, 9.81it/s]
43%|████▎ | 32/75 [00:03<00:04, 9.79it/s]
44%|████▍ | 33/75 [00:03<00:04, 9.78it/s]
45%|████▌ | 34/75 [00:03<00:04, 9.77it/s]
47%|████▋ | 35/75 [00:03<00:04, 9.78it/s]
48%|████▊ | 36/75 [00:03<00:03, 9.78it/s]
49%|████▉ | 37/75 [00:04<00:03, 9.78it/s]
51%|█████ | 38/75 [00:04<00:03, 9.67it/s]
52%|█████▏ | 39/75 [00:04<00:03, 9.71it/s]
53%|█████▎ | 40/75 [00:04<00:03, 9.73it/s]
55%|█████▍ | 41/75 [00:04<00:03, 9.70it/s]
56%|█████▌ | 42/75 [00:04<00:03, 9.72it/s]
57%|█████▋ | 43/75 [00:04<00:03, 9.77it/s]
59%|█████▊ | 44/75 [00:04<00:03, 9.80it/s]
60%|██████ | 45/75 [00:04<00:03, 9.82it/s]
61%|██████▏ | 46/75 [00:04<00:02, 9.82it/s]
63%|██████▎ | 47/75 [00:05<00:02, 9.76it/s]
64%|██████▍ | 48/75 [00:05<00:02, 9.77it/s]
65%|██████▌ | 49/75 [00:05<00:02, 9.78it/s]
67%|██████▋ | 50/75 [00:05<00:02, 9.76it/s]
68%|██████▊ | 51/75 [00:05<00:02, 9.78it/s]
69%|██████▉ | 52/75 [00:05<00:02, 9.79it/s]
71%|███████ | 53/75 [00:05<00:02, 9.79it/s]
72%|███████▏ | 54/75 [00:05<00:02, 9.79it/s]
73%|███████▎ | 55/75 [00:05<00:02, 9.80it/s]
75%|███████▍ | 56/75 [00:05<00:01, 9.79it/s]
76%|███████▌ | 57/75 [00:06<00:01, 9.80it/s]
77%|███████▋ | 58/75 [00:06<00:01, 9.82it/s]
79%|███████▊ | 59/75 [00:06<00:01, 9.83it/s]
80%|████████ | 60/75 [00:06<00:01, 9.82it/s]
81%|████████▏ | 61/75 [00:06<00:01, 9.82it/s]
83%|████████▎ | 62/75 [00:06<00:01, 9.82it/s]
84%|████████▍ | 63/75 [00:06<00:01, 9.83it/s]
85%|████████▌ | 64/75 [00:06<00:01, 9.84it/s]
87%|████████▋ | 65/75 [00:06<00:01, 9.84it/s]
88%|████████▊ | 66/75 [00:07<00:00, 9.84it/s]
89%|████████▉ | 67/75 [00:07<00:00, 9.84it/s]
91%|█████████ | 68/75 [00:07<00:00, 9.85it/s]
92%|█████████▏| 69/75 [00:07<00:00, 9.85it/s]
93%|█████████▎| 70/75 [00:07<00:00, 9.84it/s]
95%|█████████▍| 71/75 [00:07<00:00, 9.84it/s]
96%|█████████▌| 72/75 [00:07<00:00, 9.84it/s]
97%|█████████▋| 73/75 [00:07<00:00, 9.83it/s]
99%|█████████▊| 74/75 [00:07<00:00, 9.83it/s]
100%|██████████| 75/75 [00:07<00:00, 9.82it/s]
100%|██████████| 75/75 [00:07<00:00, 9.46it/s]This output was created using a different version of the model, andreasjansson/deepfloyd-if:642dcbff.
Examples
Run time and cost
This model costs approximately $0.060 to run on Replicate, or 16 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 44 seconds. The predict time for this model varies significantly based on the inputs.