Prediction
lucataco/stable-diffusion-3.5-large-lora:e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eefID
s0g2b4cajxrj40cjrqz9s77n1m
Status
Succeeded
Source
Web
Hardware
A100 (80GB)
Total duration
Created
by @lucataco
Input
- prompt
- Frog, yarn art style
- hf_lora
- https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors
- lora_scale
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 4.5
- output_quality
- 80
- prompt_strength
- 0.7
- num_inference_steps
- 28
{
"prompt": "Frog, yarn art style",
"hf_lora": "https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors",
"lora_scale": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 4.5,
"output_quality": 80,
"prompt_strength": 0.7,
"num_inference_steps": 28
}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 lucataco/stable-diffusion-3.5-large-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/stable-diffusion-3.5-large-lora:e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eef",
{
input: {
prompt: "Frog, yarn art style",
hf_lora: "https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors",
lora_scale: 1,
aspect_ratio: "1:1",
output_format: "webp",
guidance_scale: 4.5,
output_quality: 80,
prompt_strength: 0.7,
num_inference_steps: 28
}
}
);
// 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.
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 lucataco/stable-diffusion-3.5-large-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/stable-diffusion-3.5-large-lora:e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eef",
input={
"prompt": "Frog, yarn art style",
"hf_lora": "https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors",
"lora_scale": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 4.5,
"output_quality": 80,
"prompt_strength": 0.7,
"num_inference_steps": 28
}
)
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 lucataco/stable-diffusion-3.5-large-lora 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": "e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eef",
"input": {
"prompt": "Frog, yarn art style",
"hf_lora": "https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors",
"lora_scale": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 4.5,
"output_quality": 80,
"prompt_strength": 0.7,
"num_inference_steps": 28
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"completed_at": "2024-10-25T23:25:25.337002Z",
"created_at": "2024-10-25T23:24:06.167000Z",
"data_removed": false,
"error": null,
"id": "s0g2b4cajxrj40cjrqz9s77n1m",
"input": {
"prompt": "Frog, yarn art style",
"hf_lora": "https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors",
"lora_scale": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 4.5,
"output_quality": 80,
"prompt_strength": 0.7,
"num_inference_steps": 28
},
"logs": "Using seed: 23897\nPrompt: Frog, yarn art style\ntxt2img mode\nfree=2980330004480\nDownloading weights\n2024-10-25T23:25:08Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/b21c65ac69403a18 url=https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors\n2024-10-25T23:25:09Z | INFO | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/45/d7/45d7d2e1a93f1ce4839cc3dd8560db6a03db212609155ca4be733074ba55ad1f/a320b3fd93b8c83458a8cd5a4e07875fdcc1c5e862597f276e810a2341f9532e?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27pytorch_lora_weights.safetensors%3B+filename%3D%22pytorch_lora_weights.safetensors%22%3B&Expires=1730157909&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczMDE1NzkwOX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzQ1L2Q3LzQ1ZDdkMmUxYTkzZjFjZTQ4MzljYzNkZDg1NjBkYjZhMDNkYjIxMjYwOTE1NWNhNGJlNzMzMDc0YmE1NWFkMWYvYTMyMGIzZmQ5M2I4YzgzNDU4YThjZDVhNGUwNzg3NWZkY2MxYzVlODYyNTk3ZjI3NmU4MTBhMjM0MWY5NTMyZT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=FBsBQ6fAniJCee6QBEp1Sv6hJ0d8PDN%7Ek0Ku2R4GAuw8ordj6qa9nVhpjkthRGCGqWsyNJrx2SHjbrFPEsEiBfnMTTqy-AUNEWG8kkBPx3FuJ4WKpDO8zXnXCpxV6QQNQ1bCK24bPckef1EJfLplXd7V3tIGu1XZtMADga52oOwB8baFS7Dv3f3wCwIW8d80VdpUjoZ0LTQhZeA9T7cJ1RjCW%7EYmBvpj7Q4C4aVvLTVrcJDm%7E4GpPO7KKDSpX23UFjL92FcOVgSYzfwBz6eyZxqzuE88nKaRwR4x6Aft1D8VIIysyTC2ObVn-AEnRDY88PyS8Tkq6Pg4CnlgtbSf1A__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors\n2024-10-25T23:25:10Z | INFO | [ Complete ] dest=/src/weights-cache/b21c65ac69403a18 size=\"24 MB\" total_elapsed=1.288s url=https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors\nDownloaded weights in 1.36s\nLoading LoRA took: 1.70 seconds\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:15, 1.78it/s]\n 7%|▋ | 2/28 [00:00<00:11, 2.27it/s]\n 11%|█ | 3/28 [00:01<00:11, 2.18it/s]\n 14%|█▍ | 4/28 [00:01<00:11, 2.14it/s]\n 18%|█▊ | 5/28 [00:02<00:10, 2.12it/s]\n 21%|██▏ | 6/28 [00:02<00:10, 2.10it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 2.09it/s]\n 29%|██▊ | 8/28 [00:03<00:09, 2.09it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 2.08it/s]\n 36%|███▌ | 10/28 [00:04<00:08, 2.08it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 2.07it/s]\n 43%|████▎ | 12/28 [00:05<00:07, 2.07it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 2.07it/s]\n 50%|█████ | 14/28 [00:06<00:06, 2.07it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 2.07it/s]\n 57%|█████▋ | 16/28 [00:07<00:05, 2.07it/s]\n 61%|██████ | 17/28 [00:08<00:05, 2.07it/s]\n 64%|██████▍ | 18/28 [00:08<00:04, 2.07it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 2.07it/s]\n 71%|███████▏ | 20/28 [00:09<00:03, 2.07it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 2.07it/s]\n 79%|███████▊ | 22/28 [00:10<00:02, 2.07it/s]\n 82%|████████▏ | 23/28 [00:11<00:02, 2.07it/s]\n 86%|████████▌ | 24/28 [00:11<00:01, 2.07it/s]\n 89%|████████▉ | 25/28 [00:12<00:01, 2.07it/s]\n 93%|█████████▎| 26/28 [00:12<00:00, 2.07it/s]\n 96%|█████████▋| 27/28 [00:12<00:00, 2.07it/s]\n100%|██████████| 28/28 [00:13<00:00, 2.07it/s]\n100%|██████████| 28/28 [00:13<00:00, 2.08it/s]",
"metrics": {
"predict_time": 16.42523714,
"total_time": 79.170002
},
"output": [
"https://replicate.delivery/yhqm/gkcqZGl72fTNQyiYTz6SJaymgppywLGq8YiIJ8eFiUxlrdqTA/out-0.webp"
],
"started_at": "2024-10-25T23:25:08.911765Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/qoxq-tm6prcbnnodjlhzxa3eccaxfbogy5afyp3b6h3am5dcivelxu3xq",
"get": "https://api.replicate.com/v1/predictions/s0g2b4cajxrj40cjrqz9s77n1m",
"cancel": "https://api.replicate.com/v1/predictions/s0g2b4cajxrj40cjrqz9s77n1m/cancel"
},
"version": "e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eef"
}Generated in
Using seed: 23897
Prompt: Frog, yarn art style
txt2img mode
free=2980330004480
Downloading weights
2024-10-25T23:25:08Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/b21c65ac69403a18 url=https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors
2024-10-25T23:25:09Z | INFO | [ Redirect ] redirect_url=https://cdn-lfs-us-1.hf.co/repos/45/d7/45d7d2e1a93f1ce4839cc3dd8560db6a03db212609155ca4be733074ba55ad1f/a320b3fd93b8c83458a8cd5a4e07875fdcc1c5e862597f276e810a2341f9532e?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27pytorch_lora_weights.safetensors%3B+filename%3D%22pytorch_lora_weights.safetensors%22%3B&Expires=1730157909&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTczMDE1NzkwOX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmhmLmNvL3JlcG9zLzQ1L2Q3LzQ1ZDdkMmUxYTkzZjFjZTQ4MzljYzNkZDg1NjBkYjZhMDNkYjIxMjYwOTE1NWNhNGJlNzMzMDc0YmE1NWFkMWYvYTMyMGIzZmQ5M2I4YzgzNDU4YThjZDVhNGUwNzg3NWZkY2MxYzVlODYyNTk3ZjI3NmU4MTBhMjM0MWY5NTMyZT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=FBsBQ6fAniJCee6QBEp1Sv6hJ0d8PDN%7Ek0Ku2R4GAuw8ordj6qa9nVhpjkthRGCGqWsyNJrx2SHjbrFPEsEiBfnMTTqy-AUNEWG8kkBPx3FuJ4WKpDO8zXnXCpxV6QQNQ1bCK24bPckef1EJfLplXd7V3tIGu1XZtMADga52oOwB8baFS7Dv3f3wCwIW8d80VdpUjoZ0LTQhZeA9T7cJ1RjCW%7EYmBvpj7Q4C4aVvLTVrcJDm%7E4GpPO7KKDSpX23UFjL92FcOVgSYzfwBz6eyZxqzuE88nKaRwR4x6Aft1D8VIIysyTC2ObVn-AEnRDY88PyS8Tkq6Pg4CnlgtbSf1A__&Key-Pair-Id=K24J24Z295AEI9 url=https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors
2024-10-25T23:25:10Z | INFO | [ Complete ] dest=/src/weights-cache/b21c65ac69403a18 size="24 MB" total_elapsed=1.288s url=https://huggingface.co/lucataco/sd3.5-large-yarn/resolve/main/pytorch_lora_weights.safetensors
Downloaded weights in 1.36s
Loading LoRA took: 1.70 seconds
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