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chamuditha4 /anime_diff-oolong:a4be06dd
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=chamuditha4/anime_diff-oolong
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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run chamuditha4/anime_diff-oolong using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"chamuditha4/anime_diff-oolong:a4be06ddb54c1fed336bb1bd22d317d0f2ee3b8f712dbb150aad4c7053b2493e",
{
input: {
seed: 0,
prompt: "masterpiece, best quality, 1girl, solo, cherry blossoms, hanami, pink flower, white flower, spring season, wisteria, petals, flower, plum blossoms, outdoors, falling petals, white hair, black eyes",
num_frames: 24,
guidance_scale: 7.5,
negative_prompt: "badhandv4, easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, bad-artist, bad_prompt_version2-neg, teeth",
num_inference_steps: 25
}
}
);
// 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 chamuditha4/anime_diff-oolong using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"chamuditha4/anime_diff-oolong:a4be06ddb54c1fed336bb1bd22d317d0f2ee3b8f712dbb150aad4c7053b2493e",
input={
"seed": 0,
"prompt": "masterpiece, best quality, 1girl, solo, cherry blossoms, hanami, pink flower, white flower, spring season, wisteria, petals, flower, plum blossoms, outdoors, falling petals, white hair, black eyes",
"num_frames": 24,
"guidance_scale": 7.5,
"negative_prompt": "badhandv4, easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, bad-artist, bad_prompt_version2-neg, teeth",
"num_inference_steps": 25
}
)
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 chamuditha4/anime_diff-oolong 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": "chamuditha4/anime_diff-oolong:a4be06ddb54c1fed336bb1bd22d317d0f2ee3b8f712dbb150aad4c7053b2493e",
"input": {
"seed": 0,
"prompt": "masterpiece, best quality, 1girl, solo, cherry blossoms, hanami, pink flower, white flower, spring season, wisteria, petals, flower, plum blossoms, outdoors, falling petals, white hair, black eyes",
"num_frames": 24,
"guidance_scale": 7.5,
"negative_prompt": "badhandv4, easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, bad-artist, bad_prompt_version2-neg, teeth",
"num_inference_steps": 25
}
}' \
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": "2024-08-14T11:09:24.710217Z",
"created_at": "2024-08-14T11:05:03.735000Z",
"data_removed": false,
"error": null,
"id": "1pw39brdyxrgp0cha2889vvwg0",
"input": {
"prompt": "masterpiece, best quality, 1girl, solo, cherry blossoms, hanami, pink flower, white flower, spring season, wisteria, petals, flower, plum blossoms, outdoors, falling petals, white hair, black eyes",
"num_frames": 24,
"guidance_scale": 7.5,
"negative_prompt": "badhandv4, easynegative, ng_deepnegative_v1_75t, verybadimagenegative_v1.3, bad-artist, bad_prompt_version2-neg, teeth",
"num_inference_steps": 25
},
"logs": "Using seed: 3885112135\n 0%| | 0/8 [00:00<?, ?it/s]\n 12%|█▎ | 1/8 [00:01<00:10, 1.56s/it]\n 25%|██▌ | 2/8 [00:02<00:07, 1.22s/it]\n 38%|███▊ | 3/8 [00:03<00:05, 1.11s/it]\n 50%|█████ | 4/8 [00:04<00:04, 1.06s/it]\n 62%|██████▎ | 5/8 [00:05<00:03, 1.03s/it]\n 75%|███████▌ | 6/8 [00:06<00:02, 1.02s/it]\n 88%|████████▊ | 7/8 [00:07<00:01, 1.01s/it]\n100%|██████████| 8/8 [00:08<00:00, 1.00s/it]\n100%|██████████| 8/8 [00:08<00:00, 1.06s/it]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:14, 1.01it/s]\n 12%|█▎ | 2/16 [00:01<00:13, 1.01it/s]\n 19%|█▉ | 3/16 [00:02<00:12, 1.01it/s]\n 25%|██▌ | 4/16 [00:03<00:11, 1.01it/s]\n 31%|███▏ | 5/16 [00:04<00:10, 1.01it/s]\n 38%|███▊ | 6/16 [00:05<00:09, 1.01it/s]\n 44%|████▍ | 7/16 [00:06<00:08, 1.01it/s]\n 50%|█████ | 8/16 [00:07<00:07, 1.01it/s]\n 56%|█████▋ | 9/16 [00:08<00:06, 1.01it/s]\n 62%|██████▎ | 10/16 [00:09<00:05, 1.01it/s]\n 69%|██████▉ | 11/16 [00:10<00:04, 1.01it/s]\n 75%|███████▌ | 12/16 [00:11<00:03, 1.01it/s]\n 81%|████████▏ | 13/16 [00:12<00:02, 1.01it/s]\n 88%|████████▊ | 14/16 [00:13<00:01, 1.01it/s]\n 94%|█████████▍| 15/16 [00:14<00:00, 1.01it/s]\n100%|██████████| 16/16 [00:15<00:00, 1.01it/s]\n100%|██████████| 16/16 [00:15<00:00, 1.01it/s]\n 0%| | 0/25 [00:00<?, ?it/s]\n 4%|▍ | 1/25 [00:00<00:23, 1.01it/s]\n 8%|▊ | 2/25 [00:01<00:22, 1.01it/s]\n 12%|█▏ | 3/25 [00:02<00:21, 1.01it/s]\n 16%|█▌ | 4/25 [00:03<00:20, 1.01it/s]\n 20%|██ | 5/25 [00:04<00:19, 1.01it/s]\n 24%|██▍ | 6/25 [00:05<00:18, 1.01it/s]\n 28%|██▊ | 7/25 [00:06<00:17, 1.01it/s]\n 32%|███▏ | 8/25 [00:07<00:16, 1.01it/s]\n 36%|███▌ | 9/25 [00:08<00:15, 1.01it/s]\n 40%|████ | 10/25 [00:09<00:14, 1.01it/s]\n 44%|████▍ | 11/25 [00:10<00:13, 1.01it/s]\n 48%|████▊ | 12/25 [00:11<00:12, 1.01it/s]\n 52%|█████▏ | 13/25 [00:12<00:11, 1.01it/s]\n 56%|█████▌ | 14/25 [00:13<00:10, 1.01it/s]\n 60%|██████ | 15/25 [00:14<00:09, 1.01it/s]\n 64%|██████▍ | 16/25 [00:15<00:08, 1.01it/s]\n 68%|██████▊ | 17/25 [00:16<00:07, 1.01it/s]\n 72%|███████▏ | 18/25 [00:17<00:06, 1.01it/s]\n 76%|███████▌ | 19/25 [00:18<00:05, 1.00it/s]\n 80%|████████ | 20/25 [00:19<00:04, 1.00it/s]\n 84%|████████▍ | 21/25 [00:20<00:03, 1.00it/s]\n 88%|████████▊ | 22/25 [00:21<00:02, 1.00it/s]\n 92%|█████████▏| 23/25 [00:22<00:01, 1.00it/s]\n 96%|█████████▌| 24/25 [00:23<00:00, 1.00it/s]\n100%|██████████| 25/25 [00:24<00:00, 1.00it/s]\n100%|██████████| 25/25 [00:24<00:00, 1.01it/s]",
"metrics": {
"predict_time": 58.562372966,
"total_time": 260.975217
},
"output": "https://replicate.delivery/pbxt/XlcmteAav9R8QaskFAm3TqB7e2ZMUQzqeree3kYxytDdMhUaC/output.gif",
"started_at": "2024-08-14T11:08:26.147844Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/1pw39brdyxrgp0cha2889vvwg0",
"cancel": "https://api.replicate.com/v1/predictions/1pw39brdyxrgp0cha2889vvwg0/cancel"
},
"version": "a4be06ddb54c1fed336bb1bd22d317d0f2ee3b8f712dbb150aad4c7053b2493e"
}Generated in
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