Readme
This model doesn't have a readme.
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_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 qr2ai/360 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"qr2ai/360:b91bedc2d614127b658c7fb2e9276749827cdaf4f94f77ef51635ac60cbedfb9",
{
input: {
prompt: "Cosmic-themed digital painting with a swirling galaxy backdrop in purple, black, and white hues, featuring sparkling stars and glowing accents for depth and motion",
output_format: "webp"
}
}
);
// 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 replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run qr2ai/360 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"qr2ai/360:b91bedc2d614127b658c7fb2e9276749827cdaf4f94f77ef51635ac60cbedfb9",
input={
"prompt": "Cosmic-themed digital painting with a swirling galaxy backdrop in purple, black, and white hues, featuring sparkling stars and glowing accents for depth and motion",
"output_format": "webp"
}
)
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 qr2ai/360 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": "qr2ai/360:b91bedc2d614127b658c7fb2e9276749827cdaf4f94f77ef51635ac60cbedfb9",
"input": {
"prompt": "Cosmic-themed digital painting with a swirling galaxy backdrop in purple, black, and white hues, featuring sparkling stars and glowing accents for depth and motion",
"output_format": "webp"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If 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/qr2ai/360@sha256:b91bedc2d614127b658c7fb2e9276749827cdaf4f94f77ef51635ac60cbedfb9 \
-i 'prompt="Cosmic-themed digital painting with a swirling galaxy backdrop in purple, black, and white hues, featuring sparkling stars and glowing accents for depth and motion"' \
-i 'output_format="webp"'
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/qr2ai/360@sha256:b91bedc2d614127b658c7fb2e9276749827cdaf4f94f77ef51635ac60cbedfb9
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "Cosmic-themed digital painting with a swirling galaxy backdrop in purple, black, and white hues, featuring sparkling stars and glowing accents for depth and motion", "output_format": "webp" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
{
"completed_at": "2024-07-23T21:46:33.725525Z",
"created_at": "2024-07-23T21:40:15.415000Z",
"data_removed": false,
"error": null,
"id": "fxj2bddfpxrge0cgw64ts9qscw",
"input": {
"prompt": "Cosmic-themed digital painting with a swirling galaxy backdrop in purple, black, and white hues, featuring sparkling stars and glowing accents for depth and motion",
"output_format": "webp"
},
"logs": "Checking inputs\n====================================\nChecking weights\n✅ 360RedmondResized.safetensors exists in ComfyUI/models/loras\n✅ sdxl_vae.safetensors exists in ComfyUI/models/vae\n✅ dreamshaperXL_v21TurboDPMSDE.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRandomising seed to 589244072\nRunning workflow\ngot prompt\nExecuting node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple\nmodel_type EPS\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nloaded straight to GPU\nRequested to load SDXL\nLoading 1 new model\nExecuting node 10, title: Load LoRA, class type: LoraLoader\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nRequested to load SDXLClipModel\nLoading 1 new model\nExecuting node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 5, title: Empty Latent Image, class type: EmptyLatentImage\nExecuting node 11, title: Jags-XY_tile sampler, class type: xy_Tiling_KSampler\nRequested to load SDXL\nLoading 1 new model\n 0%| | 0/9 [00:00<?, ?it/s]\n 11%|█ | 1/9 [00:04<00:32, 4.06s/it]\n 22%|██▏ | 2/9 [00:07<00:25, 3.68s/it]\n 33%|███▎ | 3/9 [00:10<00:21, 3.56s/it]\n 44%|████▍ | 4/9 [00:14<00:17, 3.51s/it]\n 56%|█████▌ | 5/9 [00:17<00:13, 3.49s/it]\n 67%|██████▋ | 6/9 [00:21<00:10, 3.48s/it]\n 78%|███████▊ | 7/9 [00:24<00:06, 3.49s/it]\n 89%|████████▉ | 8/9 [00:28<00:03, 3.49s/it]\n100%|██████████| 9/9 [00:29<00:00, 2.95s/it]\n100%|██████████| 9/9 [00:29<00:00, 3.33s/it]\nExecuting node 22, title: Load VAE, class type: VAELoader\nUsing pytorch attention in VAE\nUsing pytorch attention in VAE\nRequested to load AutoencoderKL\nLoading 1 new model\nExecuting node 15, title: Jags-CircularVAEDecode, class type: CircularVAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 46.64 seconds\noutputs: {'9': {'images': [{'filename': 'Image_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nImage_00001_.png",
"metrics": {
"predict_time": 48.162423512,
"total_time": 378.310525
},
"output": [
"https://replicate.delivery/czjl/Nb1Nm5gfXlSHIKoQb2zEKeflfPeCLSGimkumNcGTLBHKXrbZC/Image_00001_.webp"
],
"started_at": "2024-07-23T21:45:45.563101Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/fxj2bddfpxrge0cgw64ts9qscw",
"cancel": "https://api.replicate.com/v1/predictions/fxj2bddfpxrge0cgw64ts9qscw/cancel"
},
"version": "b91bedc2d614127b658c7fb2e9276749827cdaf4f94f77ef51635ac60cbedfb9"
}
Checking inputs
====================================
Checking weights
✅ 360RedmondResized.safetensors exists in ComfyUI/models/loras
✅ sdxl_vae.safetensors exists in ComfyUI/models/vae
✅ dreamshaperXL_v21TurboDPMSDE.safetensors exists in ComfyUI/models/checkpoints
====================================
Randomising seed to 589244072
Running workflow
got prompt
Executing node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple
model_type EPS
Using pytorch attention in VAE
Using pytorch attention in VAE
loaded straight to GPU
Requested to load SDXL
Loading 1 new model
Executing node 10, title: Load LoRA, class type: LoraLoader
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Requested to load SDXLClipModel
Loading 1 new model
Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage
Executing node 11, title: Jags-XY_tile sampler, class type: xy_Tiling_KSampler
Requested to load SDXL
Loading 1 new model
0%| | 0/9 [00:00<?, ?it/s]
11%|█ | 1/9 [00:04<00:32, 4.06s/it]
22%|██▏ | 2/9 [00:07<00:25, 3.68s/it]
33%|███▎ | 3/9 [00:10<00:21, 3.56s/it]
44%|████▍ | 4/9 [00:14<00:17, 3.51s/it]
56%|█████▌ | 5/9 [00:17<00:13, 3.49s/it]
67%|██████▋ | 6/9 [00:21<00:10, 3.48s/it]
78%|███████▊ | 7/9 [00:24<00:06, 3.49s/it]
89%|████████▉ | 8/9 [00:28<00:03, 3.49s/it]
100%|██████████| 9/9 [00:29<00:00, 2.95s/it]
100%|██████████| 9/9 [00:29<00:00, 3.33s/it]
Executing node 22, title: Load VAE, class type: VAELoader
Using pytorch attention in VAE
Using pytorch attention in VAE
Requested to load AutoencoderKL
Loading 1 new model
Executing node 15, title: Jags-CircularVAEDecode, class type: CircularVAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 46.64 seconds
outputs: {'9': {'images': [{'filename': 'Image_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Image_00001_.png
This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
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.
Checking inputs
====================================
Checking weights
✅ 360RedmondResized.safetensors exists in ComfyUI/models/loras
✅ sdxl_vae.safetensors exists in ComfyUI/models/vae
✅ dreamshaperXL_v21TurboDPMSDE.safetensors exists in ComfyUI/models/checkpoints
====================================
Randomising seed to 589244072
Running workflow
got prompt
Executing node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple
model_type EPS
Using pytorch attention in VAE
Using pytorch attention in VAE
loaded straight to GPU
Requested to load SDXL
Loading 1 new model
Executing node 10, title: Load LoRA, class type: LoraLoader
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Requested to load SDXLClipModel
Loading 1 new model
Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage
Executing node 11, title: Jags-XY_tile sampler, class type: xy_Tiling_KSampler
Requested to load SDXL
Loading 1 new model
0%| | 0/9 [00:00<?, ?it/s]
11%|█ | 1/9 [00:04<00:32, 4.06s/it]
22%|██▏ | 2/9 [00:07<00:25, 3.68s/it]
33%|███▎ | 3/9 [00:10<00:21, 3.56s/it]
44%|████▍ | 4/9 [00:14<00:17, 3.51s/it]
56%|█████▌ | 5/9 [00:17<00:13, 3.49s/it]
67%|██████▋ | 6/9 [00:21<00:10, 3.48s/it]
78%|███████▊ | 7/9 [00:24<00:06, 3.49s/it]
89%|████████▉ | 8/9 [00:28<00:03, 3.49s/it]
100%|██████████| 9/9 [00:29<00:00, 2.95s/it]
100%|██████████| 9/9 [00:29<00:00, 3.33s/it]
Executing node 22, title: Load VAE, class type: VAELoader
Using pytorch attention in VAE
Using pytorch attention in VAE
Requested to load AutoencoderKL
Loading 1 new model
Executing node 15, title: Jags-CircularVAEDecode, class type: CircularVAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 46.64 seconds
outputs: {'9': {'images': [{'filename': 'Image_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Image_00001_.png