evtn
/
pouyippie
A flux.1 fine-tune trained on pictures of a pou plush toy. Trigger is "pouyippie"
- Public
- 432 runs
-
H100
Prediction
evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29Input
- model
- dev
- prompt
- A funny pouyippie sitting at a kitchen table
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A funny pouyippie sitting at a kitchen table", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", { input: { model: "dev", prompt: "A funny pouyippie sitting at a kitchen table", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 replicateImport the client:import replicateRun evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", input={ "model": "dev", "prompt": "A funny pouyippie sitting at a kitchen table", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run evtn/pouyippie 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": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", "input": { "model": "dev", "prompt": "A funny pouyippie sitting at a kitchen table", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-09-03T09:55:22.614025Z", "created_at": "2024-09-03T09:54:54.638000Z", "data_removed": false, "error": null, "id": "cc1f05045srm00chpx7ts1yy8r", "input": { "model": "dev", "prompt": "A funny pouyippie sitting at a kitchen table", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 6451\nPrompt: A funny pouyippie sitting at a kitchen table\ntxt2img mode\nUsing dev model\nfree=9534134849536\nDownloading weights\n2024-09-03T09:55:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7y1c4zn1/weights url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar\n2024-09-03T09:55:02Z | INFO | [ Complete ] dest=/tmp/tmp7y1c4zn1/weights size=\"172 MB\" total_elapsed=1.317s url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar\nDownloaded weights in 1.35s\nLoaded LoRAs in 13.53s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.67it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.94it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.66it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.66it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.66it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.65it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.66it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.66it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]", "metrics": { "predict_time": 21.663959122, "total_time": 27.976025 }, "output": [ "https://replicate.delivery/yhqm/xKXhhWYteA27FaRU9qvXBgpBizWczI7gbMYiKZ49SGPFeIZTA/out-0.webp" ], "started_at": "2024-09-03T09:55:00.950066Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/cc1f05045srm00chpx7ts1yy8r", "cancel": "https://api.replicate.com/v1/predictions/cc1f05045srm00chpx7ts1yy8r/cancel" }, "version": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29" }Generated inUsing seed: 6451 Prompt: A funny pouyippie sitting at a kitchen table txt2img mode Using dev model free=9534134849536 Downloading weights 2024-09-03T09:55:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7y1c4zn1/weights url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar 2024-09-03T09:55:02Z | INFO | [ Complete ] dest=/tmp/tmp7y1c4zn1/weights size="172 MB" total_elapsed=1.317s url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar Downloaded weights in 1.35s Loaded LoRAs in 13.53s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.67it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.94it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s] 50%|█████ | 14/28 [00:03<00:03, 3.66it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.66it/s] 61%|██████ | 17/28 [00:04<00:03, 3.66it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.65it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.66it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.66it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s]Prediction
evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29IDypqdh80jx5rm00chpxarh3n3s4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", { input: { model: "dev", prompt: "two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 replicateImport the client:import replicateRun evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", input={ "model": "dev", "prompt": "two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run evtn/pouyippie 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": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", "input": { "model": "dev", "prompt": "two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-09-03T10:01:50.278558Z", "created_at": "2024-09-03T10:01:31.625000Z", "data_removed": false, "error": null, "id": "ypqdh80jx5rm00chpxarh3n3s4", "input": { "model": "dev", "prompt": "two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 58391\nPrompt: two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park\ntxt2img mode\nUsing dev model\nfree=9123226329088\nDownloading weights\n2024-09-03T10:01:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmplo0u4t8d/weights url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar\n2024-09-03T10:01:32Z | INFO | [ Complete ] dest=/tmp/tmplo0u4t8d/weights size=\"172 MB\" total_elapsed=1.136s url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar\nDownloaded weights in 1.17s\nLoaded LoRAs in 10.54s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.67it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.96it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.78it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.74it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.71it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.68it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.68it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.68it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.68it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.68it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.68it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.68it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.70it/s]", "metrics": { "predict_time": 18.643620931, "total_time": 18.653558 }, "output": [ "https://replicate.delivery/yhqm/QQabgZ4Ss1rGBFJIPDj7qSDgyguYnAFof7atEhwcBVDHhksJA/out-0.webp" ], "started_at": "2024-09-03T10:01:31.634937Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ypqdh80jx5rm00chpxarh3n3s4", "cancel": "https://api.replicate.com/v1/predictions/ypqdh80jx5rm00chpxarh3n3s4/cancel" }, "version": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29" }Generated inUsing seed: 58391 Prompt: two pouyippie plush toys are on a date, one is dressed in a suit, another one is in a dress wearing makeup, in park txt2img mode Using dev model free=9123226329088 Downloading weights 2024-09-03T10:01:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmplo0u4t8d/weights url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar 2024-09-03T10:01:32Z | INFO | [ Complete ] dest=/tmp/tmplo0u4t8d/weights size="172 MB" total_elapsed=1.136s url=https://replicate.delivery/yhqm/N1CAZRSr7pp2M9VAsZkdngwyIbE2ZG0RYFNhJnzSYZA3NS2E/trained_model.tar Downloaded weights in 1.17s Loaded LoRAs in 10.54s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.67it/s] 7%|▋ | 2/28 [00:00<00:06, 4.22it/s] 11%|█ | 3/28 [00:00<00:06, 3.96it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.78it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.74it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.71it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s] 50%|█████ | 14/28 [00:03<00:03, 3.68it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.68it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/s] 61%|██████ | 17/28 [00:04<00:02, 3.68it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.68it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.68it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.68it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.68it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s] 100%|██████████| 28/28 [00:07<00:00, 3.70it/s]Prediction
evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29ID5b9727e2msrm60chpyd9kt8yt0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", { input: { model: "dev", prompt: "pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 replicateImport the client:import replicateRun evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", input={ "model": "dev", "prompt": "pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run evtn/pouyippie 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": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", "input": { "model": "dev", "prompt": "pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-09-03T11:18:02.683416Z", "created_at": "2024-09-03T11:17:38.598000Z", "data_removed": false, "error": null, "id": "5b9727e2msrm60chpyd9kt8yt0", "input": { "model": "dev", "prompt": "pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 9774\nPrompt: pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 8.46s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.66it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.21it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.66it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.66it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.66it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.66it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.66it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.66it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.66it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]", "metrics": { "predict_time": 16.573783586, "total_time": 24.085416 }, "output": [ "https://replicate.delivery/yhqm/fqqeTcYQT2oUoERa182vsC6XMNe6Q7CRDlDF7iweAY5qmokNB/out-0.webp" ], "started_at": "2024-09-03T11:17:46.109633Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5b9727e2msrm60chpyd9kt8yt0", "cancel": "https://api.replicate.com/v1/predictions/5b9727e2msrm60chpyd9kt8yt0/cancel" }, "version": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29" }Generated inUsing seed: 9774 Prompt: pouyippie is finally rich! a lot of money, fast cars, fashionable clothing, but our plushy is a bit sad anyway txt2img mode Using dev model Loaded LoRAs in 8.46s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.66it/s] 7%|▋ | 2/28 [00:00<00:06, 4.21it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s] 50%|█████ | 14/28 [00:03<00:03, 3.66it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.66it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.66it/s] 61%|██████ | 17/28 [00:04<00:03, 3.66it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.66it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.66it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.66it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s]Prediction
evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29IDk8e4t4534xrm20chpygs2aywm8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- pouyippie plush toy in sunglasses, an explosion in the background, very epic photo
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "pouyippie plush toy in sunglasses, an explosion in the background, very epic photo", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", { input: { model: "dev", prompt: "pouyippie plush toy in sunglasses, an explosion in the background, very epic photo", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 replicateImport the client:import replicateRun evtn/pouyippie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "evtn/pouyippie:5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", input={ "model": "dev", "prompt": "pouyippie plush toy in sunglasses, an explosion in the background, very epic photo", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run evtn/pouyippie 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": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29", "input": { "model": "dev", "prompt": "pouyippie plush toy in sunglasses, an explosion in the background, very epic photo", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-09-03T11:26:44.622790Z", "created_at": "2024-09-03T11:25:09.287000Z", "data_removed": false, "error": null, "id": "k8e4t4534xrm20chpygs2aywm8", "input": { "model": "dev", "prompt": "pouyippie plush toy in sunglasses, an explosion in the background, very epic photo", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 60182\nPrompt: pouyippie plush toy in sunglasses, an explosion in the background, very epic photo\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 87.15s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.64it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.19it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.92it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.81it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.75it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.72it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.65it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.65it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.65it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.65it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.65it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.66it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]", "metrics": { "predict_time": 95.316423889, "total_time": 95.33579 }, "output": [ "https://replicate.delivery/yhqm/MLBUeZpHn5RkNy8QvuVHn52PNA5K0GmX1MJVr4r6AsS6IlsJA/out-0.webp" ], "started_at": "2024-09-03T11:25:09.306367Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/k8e4t4534xrm20chpygs2aywm8", "cancel": "https://api.replicate.com/v1/predictions/k8e4t4534xrm20chpygs2aywm8/cancel" }, "version": "5af731f0c5455fa6c47e591159bb8c7d260b76be08e3e0f146bb3aea90256b29" }Generated inUsing seed: 60182 Prompt: pouyippie plush toy in sunglasses, an explosion in the background, very epic photo txt2img mode Using dev model Loaded LoRAs in 87.15s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.64it/s] 7%|▋ | 2/28 [00:00<00:06, 4.19it/s] 11%|█ | 3/28 [00:00<00:06, 3.92it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.81it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.75it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.72it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s] 50%|█████ | 14/28 [00:03<00:03, 3.65it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.65it/s] 61%|██████ | 17/28 [00:04<00:03, 3.65it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.65it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.65it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.66it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s]
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