prunaai
/
sdxl-cheetah
- Public
- 1.5K runs
-
A100 (80GB)
Prediction
prunaai/sdxl-cheetah:91b608b2IDbjq2rjzhphrm80ckebbtc790nmStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- 42
- prompt
- an astronaut riding a horse on mars
- num_images
- 1
- image_width
- 1024
- image_height
- 1024
- guidance_scale
- 7.5
- num_inference_steps
- 50
{ "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", { input: { seed: 42, prompt: "an astronaut riding a horse on mars", num_images: 1, image_width: 1024, image_height: 1024, guidance_scale: 7.5, num_inference_steps: 50 } } ); console.log(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 theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", input={ "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run prunaai/sdxl-cheetah 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": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", "input": { "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-28T12:59:11.677981Z", "created_at": "2024-11-28T12:56:15.028000Z", "data_removed": false, "error": null, "id": "bjq2rjzhphrm80ckebbtc790nm", "input": { "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 50 }, "logs": "0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:15, 3.26it/s]\n 10%|█ | 5/50 [00:00<00:03, 14.46it/s]\n 16%|█▌ | 8/50 [00:00<00:02, 18.51it/s]\n 22%|██▏ | 11/50 [00:00<00:01, 21.09it/s]\n 28%|██▊ | 14/50 [00:00<00:01, 22.84it/s]\n 34%|███▍ | 17/50 [00:00<00:01, 24.00it/s]\n 40%|████ | 20/50 [00:00<00:01, 24.76it/s]\n 46%|████▌ | 23/50 [00:01<00:01, 25.27it/s]\n 52%|█████▏ | 26/50 [00:01<00:00, 25.62it/s]\n 58%|█████▊ | 29/50 [00:01<00:00, 25.84it/s]\n 64%|██████▍ | 32/50 [00:01<00:00, 26.00it/s]\n 70%|███████ | 35/50 [00:01<00:00, 26.13it/s]\n 76%|███████▌ | 38/50 [00:01<00:00, 26.20it/s]\n 82%|████████▏ | 41/50 [00:01<00:00, 26.23it/s]\n 88%|████████▊ | 44/50 [00:01<00:00, 26.24it/s]\n 94%|█████████▍| 47/50 [00:02<00:00, 26.22it/s]\n100%|██████████| 50/50 [00:02<00:00, 26.22it/s]\n100%|██████████| 50/50 [00:02<00:00, 23.57it/s]", "metrics": { "predict_time": 2.961321902, "total_time": 176.649981 }, "output": "https://replicate.delivery/xezq/9TVKDkuD6zIrPBIeal3DLtMlcY6OrYz4oQE1Jd2eEABfYDrnA/output.png", "started_at": "2024-11-28T12:59:08.716659Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-yjjwfqljcnfufpta5zrhkzk726gwuanil4hatx3wfnbcp4j7jvtq", "get": "https://api.replicate.com/v1/predictions/bjq2rjzhphrm80ckebbtc790nm", "cancel": "https://api.replicate.com/v1/predictions/bjq2rjzhphrm80ckebbtc790nm/cancel" }, "version": "ede9420038537847b01195e06f7e413eb0c85df785d93ba1f6ac192238dce4e3" }Generated in0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:15, 3.26it/s] 10%|█ | 5/50 [00:00<00:03, 14.46it/s] 16%|█▌ | 8/50 [00:00<00:02, 18.51it/s] 22%|██▏ | 11/50 [00:00<00:01, 21.09it/s] 28%|██▊ | 14/50 [00:00<00:01, 22.84it/s] 34%|███▍ | 17/50 [00:00<00:01, 24.00it/s] 40%|████ | 20/50 [00:00<00:01, 24.76it/s] 46%|████▌ | 23/50 [00:01<00:01, 25.27it/s] 52%|█████▏ | 26/50 [00:01<00:00, 25.62it/s] 58%|█████▊ | 29/50 [00:01<00:00, 25.84it/s] 64%|██████▍ | 32/50 [00:01<00:00, 26.00it/s] 70%|███████ | 35/50 [00:01<00:00, 26.13it/s] 76%|███████▌ | 38/50 [00:01<00:00, 26.20it/s] 82%|████████▏ | 41/50 [00:01<00:00, 26.23it/s] 88%|████████▊ | 44/50 [00:01<00:00, 26.24it/s] 94%|█████████▍| 47/50 [00:02<00:00, 26.22it/s] 100%|██████████| 50/50 [00:02<00:00, 26.22it/s] 100%|██████████| 50/50 [00:02<00:00, 23.57it/s]Prediction
prunaai/sdxl-cheetah:91b608b2ID2ng0eqdgr5rme0ckebk99w7e2gStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- 42
- prompt
- An astronaut riding a rainbow unicorn, cinematic, dramatic
- num_images
- 1
- image_width
- 768
- image_height
- 768
- guidance_scale
- 7.5
- num_inference_steps
- 25
{ "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", { input: { seed: 42, prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic", num_images: 1, image_width: 768, image_height: 768, guidance_scale: 7.5, num_inference_steps: 25 } } ); console.log(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 theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", input={ "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run prunaai/sdxl-cheetah 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": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", "input": { "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-28T13:12:22.611777Z", "created_at": "2024-11-28T13:12:21.441000Z", "data_removed": false, "error": null, "id": "2ng0eqdgr5rme0ckebk99w7e2g", "input": { "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 }, "logs": "0%| | 0/25 [00:00<?, ?it/s]\n 16%|█▌ | 4/25 [00:00<00:00, 33.42it/s]\n 32%|███▏ | 8/25 [00:00<00:00, 32.67it/s]\n 48%|████▊ | 12/25 [00:00<00:00, 32.49it/s]\n 64%|██████▍ | 16/25 [00:00<00:00, 32.30it/s]\n 80%|████████ | 20/25 [00:00<00:00, 32.13it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 32.04it/s]\n100%|██████████| 25/25 [00:00<00:00, 31.94it/s]", "metrics": { "predict_time": 1.162819519, "total_time": 1.170777 }, "output": "https://replicate.delivery/xezq/CHVHXlWGa9qNNR0ibKu83AURU77Ofjt1oYwKofLnFlftxDrnA/output.png", "started_at": "2024-11-28T13:12:21.448958Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-qnpn7jroyexacsrkd6y2fwxt2a6hafydzpmoivx3cj6zrirrpoya", "get": "https://api.replicate.com/v1/predictions/2ng0eqdgr5rme0ckebk99w7e2g", "cancel": "https://api.replicate.com/v1/predictions/2ng0eqdgr5rme0ckebk99w7e2g/cancel" }, "version": "ede9420038537847b01195e06f7e413eb0c85df785d93ba1f6ac192238dce4e3" }Generated in0%| | 0/25 [00:00<?, ?it/s] 16%|█▌ | 4/25 [00:00<00:00, 33.42it/s] 32%|███▏ | 8/25 [00:00<00:00, 32.67it/s] 48%|████▊ | 12/25 [00:00<00:00, 32.49it/s] 64%|██████▍ | 16/25 [00:00<00:00, 32.30it/s] 80%|████████ | 20/25 [00:00<00:00, 32.13it/s] 96%|█████████▌| 24/25 [00:00<00:00, 32.04it/s] 100%|██████████| 25/25 [00:00<00:00, 31.94it/s]Prediction
prunaai/sdxl-cheetah:91b608b2IDbgq9xp6sw5rme0ckebfb5rj1v8StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- 42
- prompt
- an astronaut riding a horse on mars
- num_images
- 1
- image_width
- 768
- image_height
- 768
- guidance_scale
- 7.5
- num_inference_steps
- 25
{ "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", { input: { seed: 42, prompt: "an astronaut riding a horse on mars", num_images: 1, image_width: 768, image_height: 768, guidance_scale: 7.5, num_inference_steps: 25 } } ); console.log(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 theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", input={ "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run prunaai/sdxl-cheetah 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": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", "input": { "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-28T13:03:48.823732Z", "created_at": "2024-11-28T13:03:47.681000Z", "data_removed": false, "error": null, "id": "bgq9xp6sw5rme0ckebfb5rj1v8", "input": { "seed": 42, "prompt": "an astronaut riding a horse on mars", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 }, "logs": "0%| | 0/25 [00:00<?, ?it/s]\n 16%|█▌ | 4/25 [00:00<00:00, 33.75it/s]\n 32%|███▏ | 8/25 [00:00<00:00, 33.16it/s]\n 48%|████▊ | 12/25 [00:00<00:00, 32.94it/s]\n 64%|██████▍ | 16/25 [00:00<00:00, 32.71it/s]\n 80%|████████ | 20/25 [00:00<00:00, 32.55it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 32.43it/s]\n100%|██████████| 25/25 [00:00<00:00, 32.31it/s]", "metrics": { "predict_time": 1.134991973, "total_time": 1.142732 }, "output": "https://replicate.delivery/xezq/wayq6D49enS9Zyw2QexfMjDPGnVNjA2lr7Z2cxN91chohDrnA/output.png", "started_at": "2024-11-28T13:03:47.688740Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-bbu2cmjg4s7khtdfmjhk4euqmp6ppcjvv3r6zurc377ilpvk3jga", "get": "https://api.replicate.com/v1/predictions/bgq9xp6sw5rme0ckebfb5rj1v8", "cancel": "https://api.replicate.com/v1/predictions/bgq9xp6sw5rme0ckebfb5rj1v8/cancel" }, "version": "ede9420038537847b01195e06f7e413eb0c85df785d93ba1f6ac192238dce4e3" }Generated in0%| | 0/25 [00:00<?, ?it/s] 16%|█▌ | 4/25 [00:00<00:00, 33.75it/s] 32%|███▏ | 8/25 [00:00<00:00, 33.16it/s] 48%|████▊ | 12/25 [00:00<00:00, 32.94it/s] 64%|██████▍ | 16/25 [00:00<00:00, 32.71it/s] 80%|████████ | 20/25 [00:00<00:00, 32.55it/s] 96%|█████████▌| 24/25 [00:00<00:00, 32.43it/s] 100%|██████████| 25/25 [00:00<00:00, 32.31it/s]Prediction
prunaai/sdxl-cheetah:91b608b2IDsgkjccdqb1rm80ckebj82gjgv0StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- 42
- prompt
- An astronaut riding a rainbow unicorn, cinematic, dramatic
- num_images
- 1
- image_width
- 768
- image_height
- 768
- guidance_scale
- 7.5
- num_inference_steps
- 25
{ "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", { input: { seed: 42, prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic", num_images: 1, image_width: 768, image_height: 768, guidance_scale: 7.5, num_inference_steps: 25 } } ); console.log(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 theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", input={ "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run prunaai/sdxl-cheetah 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": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", "input": { "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-28T13:10:13.272507Z", "created_at": "2024-11-28T13:10:12.056000Z", "data_removed": false, "error": null, "id": "sgkjccdqb1rm80ckebj82gjgv0", "input": { "seed": 42, "prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic", "num_images": 1, "image_width": 768, "image_height": 768, "guidance_scale": 7.5, "num_inference_steps": 25 }, "logs": "0%| | 0/25 [00:00<?, ?it/s]\n 16%|█▌ | 4/25 [00:00<00:00, 33.12it/s]\n 32%|███▏ | 8/25 [00:00<00:00, 32.43it/s]\n 48%|████▊ | 12/25 [00:00<00:00, 32.27it/s]\n 64%|██████▍ | 16/25 [00:00<00:00, 32.14it/s]\n 80%|████████ | 20/25 [00:00<00:00, 32.08it/s]\n 96%|█████████▌| 24/25 [00:00<00:00, 31.97it/s]\n100%|██████████| 25/25 [00:00<00:00, 31.77it/s]", "metrics": { "predict_time": 1.209065893, "total_time": 1.216507 }, "output": "https://replicate.delivery/xezq/nbLp47e2610bIi2Lf4GF2RGdikCF6ZH2fph7YHQWOLhqtDrnA/output.png", "started_at": "2024-11-28T13:10:12.063441Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-m6tland2jvelplpcpldy3m3zrtrri7u6dcapmwaogf26fbzhfm7q", "get": "https://api.replicate.com/v1/predictions/sgkjccdqb1rm80ckebj82gjgv0", "cancel": "https://api.replicate.com/v1/predictions/sgkjccdqb1rm80ckebj82gjgv0/cancel" }, "version": "ede9420038537847b01195e06f7e413eb0c85df785d93ba1f6ac192238dce4e3" }Generated in0%| | 0/25 [00:00<?, ?it/s] 16%|█▌ | 4/25 [00:00<00:00, 33.12it/s] 32%|███▏ | 8/25 [00:00<00:00, 32.43it/s] 48%|████▊ | 12/25 [00:00<00:00, 32.27it/s] 64%|██████▍ | 16/25 [00:00<00:00, 32.14it/s] 80%|████████ | 20/25 [00:00<00:00, 32.08it/s] 96%|█████████▌| 24/25 [00:00<00:00, 31.97it/s] 100%|██████████| 25/25 [00:00<00:00, 31.77it/s]Prediction
prunaai/sdxl-cheetah:91b608b2ID7bnne5qpvsrj40cnvvx9z3bv8rStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedby @prunaaiInput
- seed
- 0
- prompt
- a beautiful unicorn
- go_fast_af
- num_images
- 1
- image_width
- 1024
- image_height
- 1024
- guidance_scale
- 7.5
- num_inference_steps
- 30
{ "seed": 0, "prompt": "a beautiful unicorn", "go_fast_af": false, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", { input: { seed: 0, prompt: "a beautiful unicorn", go_fast_af: false, num_images: 1, image_width: 1024, image_height: 1024, guidance_scale: 7.5, num_inference_steps: 30 } } ); console.log(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 theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", input={ "seed": 0, "prompt": "a beautiful unicorn", "go_fast_af": False, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run prunaai/sdxl-cheetah 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": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", "input": { "seed": 0, "prompt": "a beautiful unicorn", "go_fast_af": false, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-28T22:59:05.889721Z", "created_at": "2025-03-28T22:59:04.030000Z", "data_removed": false, "error": null, "id": "7bnne5qpvsrj40cnvvx9z3bv8r", "input": { "seed": 0, "prompt": "a beautiful unicorn", "go_fast_af": false, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 }, "logs": "0%| | 0/30 [00:00<?, ?it/s]\n 50%|█████ | 15/30 [00:00<00:00, 36.16it/s]\n100%|██████████| 30/30 [00:00<00:00, 34.93it/s]\n100%|██████████| 30/30 [00:00<00:00, 35.09it/s]", "metrics": { "predict_time": 1.8470771849999998, "total_time": 1.859721 }, "output": "https://replicate.delivery/yhqm/lyq6dRHDSda3NVXEroV4xSLuLhofqlrJEp7aJIGbyT1c3mOKA/output.png", "started_at": "2025-03-28T22:59:04.042644Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/yswh-fhnt4fn73fdipqf7o6wqhatk4xwdusp2jkhhsgkllymocncfulra", "get": "https://api.replicate.com/v1/predictions/7bnne5qpvsrj40cnvvx9z3bv8r", "cancel": "https://api.replicate.com/v1/predictions/7bnne5qpvsrj40cnvvx9z3bv8r/cancel" }, "version": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807" }Generated in0%| | 0/30 [00:00<?, ?it/s] 50%|█████ | 15/30 [00:00<00:00, 36.16it/s] 100%|██████████| 30/30 [00:00<00:00, 34.93it/s] 100%|██████████| 30/30 [00:00<00:00, 35.09it/s]Prediction
prunaai/sdxl-cheetah:91b608b2ID96rybm50w1rj20cnvvybk1c6fmStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- seed
- 0
- prompt
- an purple apple
- go_fast_af
- num_images
- 1
- image_width
- 1024
- image_height
- 1024
- guidance_scale
- 7.5
- num_inference_steps
- 30
{ "seed": 0, "prompt": "an purple apple", "go_fast_af": true, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", { input: { seed: 0, prompt: "an purple apple", go_fast_af: true, num_images: 1, image_width: 1024, image_height: 1024, guidance_scale: 7.5, num_inference_steps: 30 } } ); console.log(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 theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun prunaai/sdxl-cheetah using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "prunaai/sdxl-cheetah:91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", input={ "seed": 0, "prompt": "an purple apple", "go_fast_af": True, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run prunaai/sdxl-cheetah 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": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807", "input": { "seed": 0, "prompt": "an purple apple", "go_fast_af": true, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-28T23:00:56.092699Z", "created_at": "2025-03-28T23:00:53.088000Z", "data_removed": false, "error": null, "id": "96rybm50w1rj20cnvvybk1c6fm", "input": { "seed": 0, "prompt": "an purple apple", "go_fast_af": true, "num_images": 1, "image_width": 1024, "image_height": 1024, "guidance_scale": 7.5, "num_inference_steps": 30 }, "logs": "0%| | 0/30 [00:00<?, ?it/s]\n 50%|█████ | 15/30 [00:00<00:00, 131.57it/s]\n100%|██████████| 30/30 [00:00<00:00, 54.63it/s] \n100%|██████████| 30/30 [00:00<00:00, 59.84it/s]", "metrics": { "predict_time": 1.417135884, "total_time": 3.004699 }, "output": "https://replicate.delivery/yhqm/PcHT6lKNA0rGINBgXSrEcSKocLwFLm1jexf7UvQAUcbowNdUA/output.png", "started_at": "2025-03-28T23:00:54.675563Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/yswh-kxxd53wnfe5hjvvd5vdzbsfp7yw2zbtbszrozl5j6g6pbtlpac7a", "get": "https://api.replicate.com/v1/predictions/96rybm50w1rj20cnvvybk1c6fm", "cancel": "https://api.replicate.com/v1/predictions/96rybm50w1rj20cnvvybk1c6fm/cancel" }, "version": "91b608b2a471e40d5a9425dcd9610c066430236d313ab84e65d26c02a585e807" }Generated in0%| | 0/30 [00:00<?, ?it/s] 50%|█████ | 15/30 [00:00<00:00, 131.57it/s] 100%|██████████| 30/30 [00:00<00:00, 54.63it/s] 100%|██████████| 30/30 [00:00<00:00, 59.84it/s]
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