csm03780513 / korir
- Public
- 37 runs
-
H100
Prediction
csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666IDzyjgg95tw9rm60cj36pb0gev28StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- csm2000 in a suit
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "csm2000 in a suit", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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 csm03780513/korir using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", { input: { model: "dev", prompt: "csm2000 in a suit", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, 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 csm03780513/korir using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", input={ "model": "dev", "prompt": "csm2000 in a suit", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run csm03780513/korir 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": "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", "input": { "model": "dev", "prompt": "csm2000 in a suit", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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": "2024-09-22T12:20:20.618743Z", "created_at": "2024-09-22T12:20:03.426000Z", "data_removed": false, "error": null, "id": "zyjgg95tw9rm60cj36pb0gev28", "input": { "model": "dev", "prompt": "csm2000 in a suit", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 55662\nPrompt: csm2000 in a suit\n[!] txt2img mode\nUsing dev model\nfree=9091850858496\nDownloading weights\n2024-09-22T12:20:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk2o7f5bw/weights url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar\n2024-09-22T12:20:04Z | INFO | [ Complete ] dest=/tmp/tmpk2o7f5bw/weights size=\"172 MB\" total_elapsed=1.334s url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar\nDownloaded weights in 1.36s\nLoaded LoRAs in 8.79s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.53it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.00it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.78it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.68it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.63it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.60it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.58it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.55it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.54it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.54it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.54it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.54it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.54it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.54it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.56it/s]", "metrics": { "predict_time": 17.182828702, "total_time": 17.192743 }, "output": [ "https://replicate.delivery/yhqm/qOvEUwmgXt5eAyoW8OsofbgJBClVcXaIXct0j2eGymAIs3eNB/out-0.webp" ], "started_at": "2024-09-22T12:20:03.435914Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/zyjgg95tw9rm60cj36pb0gev28", "cancel": "https://api.replicate.com/v1/predictions/zyjgg95tw9rm60cj36pb0gev28/cancel" }, "version": "1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666" }Generated inUsing seed: 55662 Prompt: csm2000 in a suit [!] txt2img mode Using dev model free=9091850858496 Downloading weights 2024-09-22T12:20:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk2o7f5bw/weights url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar 2024-09-22T12:20:04Z | INFO | [ Complete ] dest=/tmp/tmpk2o7f5bw/weights size="172 MB" total_elapsed=1.334s url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar Downloaded weights in 1.36s Loaded LoRAs in 8.79s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.53it/s] 7%|▋ | 2/28 [00:00<00:06, 4.00it/s] 11%|█ | 3/28 [00:00<00:06, 3.78it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.68it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.63it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.60it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.58it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.57it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.55it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.55it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s] 50%|█████ | 14/28 [00:03<00:03, 3.54it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.54it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.54it/s] 61%|██████ | 17/28 [00:04<00:03, 3.54it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.54it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.54it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.56it/s]Prediction
csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666IDsxsmbp1pnhrm40cj36qb3hzq84StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- csm2000 as a mafia boss full body
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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 csm03780513/korir using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", { input: { model: "dev", prompt: "csm2000 as a mafia boss full body", lora_scale: 1, num_outputs: 1, aspect_ratio: "16:9", output_format: "png", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, 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 csm03780513/korir using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", input={ "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run csm03780513/korir 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": "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", "input": { "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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": "2024-09-22T12:22:55.199772Z", "created_at": "2024-09-22T12:21:40.652000Z", "data_removed": false, "error": null, "id": "sxsmbp1pnhrm40cj36qb3hzq84", "input": { "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 1138\nPrompt: csm2000 as a mafia boss full body\n[!] txt2img mode\nUsing dev model\nfree=8019897176064\nDownloading weights\n2024-09-22T12:22:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpa4ar_5lw/weights url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar\n2024-09-22T12:22:38Z | INFO | [ Complete ] dest=/tmp/tmpa4ar_5lw/weights size=\"172 MB\" total_elapsed=2.475s url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar\nDownloaded weights in 2.51s\nLoaded LoRAs in 10.45s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.55it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.02it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.79it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.69it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.56it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.56it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.55it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.56it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.56it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.56it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.56it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.56it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.56it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.56it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.56it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.56it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.58it/s]", "metrics": { "predict_time": 19.166346074, "total_time": 74.547772 }, "output": [ "https://replicate.delivery/yhqm/N2fjS2AJSwyERal998UgCjcekdaaeQnToDaUpbTqfnh7hv9NB/out-0.png" ], "started_at": "2024-09-22T12:22:36.033426Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/sxsmbp1pnhrm40cj36qb3hzq84", "cancel": "https://api.replicate.com/v1/predictions/sxsmbp1pnhrm40cj36qb3hzq84/cancel" }, "version": "1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666" }Generated inUsing seed: 1138 Prompt: csm2000 as a mafia boss full body [!] txt2img mode Using dev model free=8019897176064 Downloading weights 2024-09-22T12:22:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpa4ar_5lw/weights url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar 2024-09-22T12:22:38Z | INFO | [ Complete ] dest=/tmp/tmpa4ar_5lw/weights size="172 MB" total_elapsed=2.475s url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar Downloaded weights in 2.51s Loaded LoRAs in 10.45s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.55it/s] 7%|▋ | 2/28 [00:00<00:06, 4.02it/s] 11%|█ | 3/28 [00:00<00:06, 3.79it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.69it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.56it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.56it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s] 50%|█████ | 14/28 [00:03<00:03, 3.55it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.56it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.56it/s] 61%|██████ | 17/28 [00:04<00:03, 3.56it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.56it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.56it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.56it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.56it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.56it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s] 100%|██████████| 28/28 [00:07<00:00, 3.56it/s] 100%|██████████| 28/28 [00:07<00:00, 3.58it/s]Prediction
csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666IDxe0bceph99rm40cj36st6nqpgrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- csm2000 as a mafia boss full body
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- png
- guidance_scale
- 1.3
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 1.3, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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 csm03780513/korir using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", { input: { model: "dev", prompt: "csm2000 as a mafia boss full body", lora_scale: 1, num_outputs: 1, aspect_ratio: "16:9", output_format: "png", guidance_scale: 1.3, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, 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 csm03780513/korir using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", input={ "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 1.3, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run csm03780513/korir 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": "csm03780513/korir:1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666", "input": { "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 1.3, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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": "2024-09-22T12:29:17.881395Z", "created_at": "2024-09-22T12:27:47.914000Z", "data_removed": false, "error": null, "id": "xe0bceph99rm40cj36st6nqpgr", "input": { "model": "dev", "prompt": "csm2000 as a mafia boss full body", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 1.3, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 1742\nPrompt: csm2000 as a mafia boss full body\n[!] txt2img mode\nUsing dev model\nfree=7107890864128\nDownloading weights\n2024-09-22T12:27:47Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpo1l44i7p/weights url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar\n2024-09-22T12:27:49Z | INFO | [ Complete ] dest=/tmp/tmpo1l44i7p/weights size=\"172 MB\" total_elapsed=1.980s url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar\nDownloaded weights in 2.01s\nLoaded LoRAs in 80.17s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:09, 2.74it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.53it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.55it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.55it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.56it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.56it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.56it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.57it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.57it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.57it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.57it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.57it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.57it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.57it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.57it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.57it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.57it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.57it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.57it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.57it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.57it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.57it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.57it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.57it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.57it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.55it/s]", "metrics": { "predict_time": 89.954677705, "total_time": 89.967395 }, "output": [ "https://replicate.delivery/yhqm/oToe6VMJSDT1WKWpD33aMWsnTeBgm4B4YIaWrfei0jfqzf23E/out-0.png" ], "started_at": "2024-09-22T12:27:47.926717Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/xe0bceph99rm40cj36st6nqpgr", "cancel": "https://api.replicate.com/v1/predictions/xe0bceph99rm40cj36st6nqpgr/cancel" }, "version": "1614cc2db89324ee684fc2660ef2a3c996fdf51fb755cc094202fee843aba666" }Generated inUsing seed: 1742 Prompt: csm2000 as a mafia boss full body [!] txt2img mode Using dev model free=7107890864128 Downloading weights 2024-09-22T12:27:47Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpo1l44i7p/weights url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar 2024-09-22T12:27:49Z | INFO | [ Complete ] dest=/tmp/tmpo1l44i7p/weights size="172 MB" total_elapsed=1.980s url=https://replicate.delivery/yhqm/CIko2EmhJirHHd0saceBmRxyqaQ3XNHLXMJ761khXCyetbfmA/trained_model.tar Downloaded weights in 2.01s Loaded LoRAs in 80.17s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.74it/s] 7%|▋ | 2/28 [00:00<00:07, 3.53it/s] 11%|█ | 3/28 [00:00<00:07, 3.55it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.55it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.56it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.56it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.56it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.56it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.57it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.57it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.57it/s] 50%|█████ | 14/28 [00:03<00:03, 3.57it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.57it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.57it/s] 61%|██████ | 17/28 [00:04<00:03, 3.57it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.57it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.57it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.57it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.57it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.57it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.57it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.57it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.57it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.57it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.57it/s] 100%|██████████| 28/28 [00:07<00:00, 3.57it/s] 100%|██████████| 28/28 [00:07<00:00, 3.55it/s]
Want to make some of these yourself?
Run this model