thefluxtrain
/
oye-cartoon
This model generates pose variation of a cartoon character. It preserves the cartoon identity. Use this model to augment training dataset for any cartoon character created through AI. The augmented dataset can be used to train a LoRA model.
Prediction
thefluxtrain/oye-cartoon:fb784e00ID4fgjerq4gxrj00cn16ythgmnp0StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- lora
- saquiboye/oye-cartoon
- image
- model
- oye-cartoon-v2
- prompt
- a man cartoon character, sitting on a chair. brown pants
- strength
- 0.6
- predictive
- 0
- weight_name
- pytorch_lora_weights.safetensors
- guidance_scale
- 7.5
- image_strength
- 1
- position_delta
- -16
- num_inference_steps
- 50
{ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, sitting on a chair. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", { input: { lora: "saquiboye/oye-cartoon", image: "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", model: "oye-cartoon-v2", prompt: "a man cartoon character, sitting on a chair. brown pants", strength: 0.6, predictive: 0, weight_name: "pytorch_lora_weights.safetensors", guidance_scale: 7.5, image_strength: 1, position_delta: -16, 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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", input={ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, sitting on a chair. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon 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": "fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, sitting on a chair. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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": "2025-02-15T13:15:42.848025Z", "created_at": "2025-02-15T13:13:14.631000Z", "data_removed": false, "error": null, "id": "4fgjerq4gxrj00cn16ythgmnp0", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, sitting on a chair. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "num_inference_steps": 50 }, "logs": "Not logged in!\nUsing control model: oye-cartoon-v2\nGenerating image with prompt: a man cartoon character, sitting on a chair. brown pants\nLogging in with token\nThe token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\nToken is valid (permission: fineGrained).\nYour token has been saved to /root/.cache/huggingface/token\nLogin successful\nUsing seed: 60414\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:59, 1.21s/it]\n 4%|▍ | 2/50 [00:02<00:53, 1.11s/it]\n 6%|▌ | 3/50 [00:03<00:53, 1.14s/it]\n 8%|▊ | 4/50 [00:04<00:52, 1.15s/it]\n 10%|█ | 5/50 [00:05<00:52, 1.16s/it]\n 12%|█▏ | 6/50 [00:06<00:51, 1.16s/it]\n 14%|█▍ | 7/50 [00:08<00:50, 1.17s/it]\n 16%|█▌ | 8/50 [00:09<00:49, 1.17s/it]\n 18%|█▊ | 9/50 [00:10<00:48, 1.17s/it]\n 20%|██ | 10/50 [00:11<00:46, 1.17s/it]\n 22%|██▏ | 11/50 [00:12<00:45, 1.18s/it]\n 24%|██▍ | 12/50 [00:13<00:44, 1.18s/it]\n 26%|██▌ | 13/50 [00:15<00:43, 1.18s/it]\n 28%|██▊ | 14/50 [00:16<00:42, 1.18s/it]\n 30%|███ | 15/50 [00:17<00:41, 1.18s/it]\n 32%|███▏ | 16/50 [00:18<00:40, 1.18s/it]\n 34%|███▍ | 17/50 [00:19<00:38, 1.18s/it]\n 36%|███▌ | 18/50 [00:21<00:37, 1.18s/it]\n 38%|███▊ | 19/50 [00:22<00:36, 1.18s/it]\n 40%|████ | 20/50 [00:23<00:35, 1.18s/it]\n 42%|████▏ | 21/50 [00:24<00:34, 1.18s/it]\n 44%|████▍ | 22/50 [00:25<00:33, 1.18s/it]\n 46%|████▌ | 23/50 [00:26<00:31, 1.18s/it]\n 48%|████▊ | 24/50 [00:28<00:30, 1.18s/it]\n 50%|█████ | 25/50 [00:29<00:29, 1.18s/it]\n 52%|█████▏ | 26/50 [00:30<00:28, 1.18s/it]\n 54%|█████▍ | 27/50 [00:31<00:27, 1.18s/it]\n 56%|█████▌ | 28/50 [00:32<00:25, 1.18s/it]\n 58%|█████▊ | 29/50 [00:34<00:24, 1.18s/it]\n 60%|██████ | 30/50 [00:35<00:23, 1.18s/it]\n 62%|██████▏ | 31/50 [00:36<00:22, 1.18s/it]\n 64%|██████▍ | 32/50 [00:37<00:21, 1.18s/it]\n 66%|██████▌ | 33/50 [00:38<00:20, 1.18s/it]\n 68%|██████▊ | 34/50 [00:39<00:18, 1.18s/it]\n 70%|███████ | 35/50 [00:41<00:17, 1.18s/it]\n 72%|███████▏ | 36/50 [00:42<00:16, 1.18s/it]\n 74%|███████▍ | 37/50 [00:43<00:15, 1.18s/it]\n 76%|███████▌ | 38/50 [00:44<00:14, 1.18s/it]\n 78%|███████▊ | 39/50 [00:45<00:12, 1.18s/it]\n 80%|████████ | 40/50 [00:47<00:11, 1.18s/it]\n 82%|████████▏ | 41/50 [00:48<00:10, 1.18s/it]\n 84%|████████▍ | 42/50 [00:49<00:09, 1.18s/it]\n 86%|████████▌ | 43/50 [00:50<00:08, 1.18s/it]\n 88%|████████▊ | 44/50 [00:51<00:07, 1.18s/it]\n 90%|█████████ | 45/50 [00:52<00:05, 1.18s/it]\n 92%|█████████▏| 46/50 [00:54<00:04, 1.18s/it]\n 94%|█████████▍| 47/50 [00:55<00:03, 1.18s/it]\n 96%|█████████▌| 48/50 [00:56<00:02, 1.18s/it]\n 98%|█████████▊| 49/50 [00:57<00:01, 1.18s/it]\n100%|██████████| 50/50 [00:58<00:00, 1.18s/it]\n100%|██████████| 50/50 [00:58<00:00, 1.18s/it]", "metrics": { "predict_time": 67.027413859, "total_time": 148.217025 }, "output": "https://replicate.delivery/yhqm/5SPtvl2AEY6aEJgrPaKI46fv3WsjBNj9lEdH4uVpiLGfVkPUA/out.png", "started_at": "2025-02-15T13:14:35.820611Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/yswh-sbd5o3coxryhuuknebqvdg6c34nhrgc76uofqa2uc7qigrxwdzvq", "get": "https://api.replicate.com/v1/predictions/4fgjerq4gxrj00cn16ythgmnp0", "cancel": "https://api.replicate.com/v1/predictions/4fgjerq4gxrj00cn16ythgmnp0/cancel" }, "version": "a4862b811bb3af0baf99cff192e2649bda525b441696d02fb80f40ce52290652" }Generated inNot logged in! Using control model: oye-cartoon-v2 Generating image with prompt: a man cartoon character, sitting on a chair. brown pants Logging in with token The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well. Token is valid (permission: fineGrained). Your token has been saved to /root/.cache/huggingface/token Login successful Using seed: 60414 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:59, 1.21s/it] 4%|▍ | 2/50 [00:02<00:53, 1.11s/it] 6%|▌ | 3/50 [00:03<00:53, 1.14s/it] 8%|▊ | 4/50 [00:04<00:52, 1.15s/it] 10%|█ | 5/50 [00:05<00:52, 1.16s/it] 12%|█▏ | 6/50 [00:06<00:51, 1.16s/it] 14%|█▍ | 7/50 [00:08<00:50, 1.17s/it] 16%|█▌ | 8/50 [00:09<00:49, 1.17s/it] 18%|█▊ | 9/50 [00:10<00:48, 1.17s/it] 20%|██ | 10/50 [00:11<00:46, 1.17s/it] 22%|██▏ | 11/50 [00:12<00:45, 1.18s/it] 24%|██▍ | 12/50 [00:13<00:44, 1.18s/it] 26%|██▌ | 13/50 [00:15<00:43, 1.18s/it] 28%|██▊ | 14/50 [00:16<00:42, 1.18s/it] 30%|███ | 15/50 [00:17<00:41, 1.18s/it] 32%|███▏ | 16/50 [00:18<00:40, 1.18s/it] 34%|███▍ | 17/50 [00:19<00:38, 1.18s/it] 36%|███▌ | 18/50 [00:21<00:37, 1.18s/it] 38%|███▊ | 19/50 [00:22<00:36, 1.18s/it] 40%|████ | 20/50 [00:23<00:35, 1.18s/it] 42%|████▏ | 21/50 [00:24<00:34, 1.18s/it] 44%|████▍ | 22/50 [00:25<00:33, 1.18s/it] 46%|████▌ | 23/50 [00:26<00:31, 1.18s/it] 48%|████▊ | 24/50 [00:28<00:30, 1.18s/it] 50%|█████ | 25/50 [00:29<00:29, 1.18s/it] 52%|█████▏ | 26/50 [00:30<00:28, 1.18s/it] 54%|█████▍ | 27/50 [00:31<00:27, 1.18s/it] 56%|█████▌ | 28/50 [00:32<00:25, 1.18s/it] 58%|█████▊ | 29/50 [00:34<00:24, 1.18s/it] 60%|██████ | 30/50 [00:35<00:23, 1.18s/it] 62%|██████▏ | 31/50 [00:36<00:22, 1.18s/it] 64%|██████▍ | 32/50 [00:37<00:21, 1.18s/it] 66%|██████▌ | 33/50 [00:38<00:20, 1.18s/it] 68%|██████▊ | 34/50 [00:39<00:18, 1.18s/it] 70%|███████ | 35/50 [00:41<00:17, 1.18s/it] 72%|███████▏ | 36/50 [00:42<00:16, 1.18s/it] 74%|███████▍ | 37/50 [00:43<00:15, 1.18s/it] 76%|███████▌ | 38/50 [00:44<00:14, 1.18s/it] 78%|███████▊ | 39/50 [00:45<00:12, 1.18s/it] 80%|████████ | 40/50 [00:47<00:11, 1.18s/it] 82%|████████▏ | 41/50 [00:48<00:10, 1.18s/it] 84%|████████▍ | 42/50 [00:49<00:09, 1.18s/it] 86%|████████▌ | 43/50 [00:50<00:08, 1.18s/it] 88%|████████▊ | 44/50 [00:51<00:07, 1.18s/it] 90%|█████████ | 45/50 [00:52<00:05, 1.18s/it] 92%|█████████▏| 46/50 [00:54<00:04, 1.18s/it] 94%|█████████▍| 47/50 [00:55<00:03, 1.18s/it] 96%|█████████▌| 48/50 [00:56<00:02, 1.18s/it] 98%|█████████▊| 49/50 [00:57<00:01, 1.18s/it] 100%|██████████| 50/50 [00:58<00:00, 1.18s/it] 100%|██████████| 50/50 [00:58<00:00, 1.18s/it]Prediction
thefluxtrain/oye-cartoon:fb784e00IDjwyah9y7dsrj40cn170ac7zgdgStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- lora
- saquiboye/oye-cartoon
- image
- model
- oye-cartoon-v2
- prompt
- a man cartoon character, ridding a horse. brown pants
- strength
- 0.6
- predictive
- 0
- weight_name
- pytorch_lora_weights.safetensors
- guidance_scale
- 7.5
- image_strength
- 1
- position_delta
- -16
- num_inference_steps
- 50
{ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", { input: { lora: "saquiboye/oye-cartoon", image: "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", model: "oye-cartoon-v2", prompt: "a man cartoon character, ridding a horse. brown pants", strength: 0.6, predictive: 0, weight_name: "pytorch_lora_weights.safetensors", guidance_scale: 7.5, image_strength: 1, position_delta: -16, 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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", input={ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon 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": "fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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": "2025-02-15T13:18:09.192902Z", "created_at": "2025-02-15T13:16:23.790000Z", "data_removed": false, "error": null, "id": "jwyah9y7dsrj40cn170ac7zgdg", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pants", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "num_inference_steps": 50 }, "logs": "Successfully logged out.\nUsing control model: oye-cartoon-v2\nGenerating image with prompt: a man cartoon character, ridding a horse. brown pants\nLogging in with token\nThe token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\nToken is valid (permission: fineGrained).\nYour token has been saved to /root/.cache/huggingface/token\nLogin successful\nUsing seed: 32864\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:57, 1.18s/it]\n 4%|▍ | 2/50 [00:02<00:52, 1.10s/it]\n 6%|▌ | 3/50 [00:03<00:53, 1.14s/it]\n 8%|▊ | 4/50 [00:04<00:53, 1.16s/it]\n 10%|█ | 5/50 [00:05<00:52, 1.17s/it]\n 12%|█▏ | 6/50 [00:06<00:51, 1.17s/it]\n 14%|█▍ | 7/50 [00:08<00:50, 1.17s/it]\n 16%|█▌ | 8/50 [00:09<00:49, 1.18s/it]\n 18%|█▊ | 9/50 [00:10<00:48, 1.18s/it]\n 20%|██ | 10/50 [00:11<00:47, 1.18s/it]\n 22%|██▏ | 11/50 [00:12<00:46, 1.18s/it]\n 24%|██▍ | 12/50 [00:14<00:44, 1.18s/it]\n 26%|██▌ | 13/50 [00:15<00:43, 1.18s/it]\n 28%|██▊ | 14/50 [00:16<00:42, 1.18s/it]\n 30%|███ | 15/50 [00:17<00:41, 1.18s/it]\n 32%|███▏ | 16/50 [00:18<00:40, 1.18s/it]\n 34%|███▍ | 17/50 [00:19<00:39, 1.18s/it]\n 36%|███▌ | 18/50 [00:21<00:37, 1.18s/it]\n 38%|███▊ | 19/50 [00:22<00:36, 1.18s/it]\n 40%|████ | 20/50 [00:23<00:35, 1.19s/it]\n 42%|████▏ | 21/50 [00:24<00:34, 1.18s/it]\n 44%|████▍ | 22/50 [00:25<00:33, 1.18s/it]\n 46%|████▌ | 23/50 [00:27<00:31, 1.19s/it]\n 48%|████▊ | 24/50 [00:28<00:30, 1.18s/it]\n 50%|█████ | 25/50 [00:29<00:29, 1.18s/it]\n 52%|█████▏ | 26/50 [00:30<00:28, 1.18s/it]\n 54%|█████▍ | 27/50 [00:31<00:27, 1.19s/it]\n 56%|█████▌ | 28/50 [00:33<00:26, 1.18s/it]\n 58%|█████▊ | 29/50 [00:34<00:24, 1.18s/it]\n 60%|██████ | 30/50 [00:35<00:23, 1.18s/it]\n 62%|██████▏ | 31/50 [00:36<00:22, 1.18s/it]\n 64%|██████▍ | 32/50 [00:37<00:21, 1.18s/it]\n 66%|██████▌ | 33/50 [00:38<00:20, 1.18s/it]\n 68%|██████▊ | 34/50 [00:40<00:18, 1.18s/it]\n 70%|███████ | 35/50 [00:41<00:17, 1.18s/it]\n 72%|███████▏ | 36/50 [00:42<00:16, 1.19s/it]\n 74%|███████▍ | 37/50 [00:43<00:15, 1.19s/it]\n 76%|███████▌ | 38/50 [00:44<00:14, 1.18s/it]\n 78%|███████▊ | 39/50 [00:46<00:13, 1.18s/it]\n 80%|████████ | 40/50 [00:47<00:11, 1.18s/it]\n 82%|████████▏ | 41/50 [00:48<00:10, 1.18s/it]\n 84%|████████▍ | 42/50 [00:49<00:09, 1.18s/it]\n 86%|████████▌ | 43/50 [00:50<00:08, 1.18s/it]\n 88%|████████▊ | 44/50 [00:51<00:07, 1.18s/it]\n 90%|█████████ | 45/50 [00:53<00:05, 1.18s/it]\n 92%|█████████▏| 46/50 [00:54<00:04, 1.18s/it]\n 94%|█████████▍| 47/50 [00:55<00:03, 1.18s/it]\n 96%|█████████▌| 48/50 [00:56<00:02, 1.18s/it]\n 98%|█████████▊| 49/50 [00:57<00:01, 1.18s/it]\n100%|██████████| 50/50 [00:59<00:00, 1.18s/it]\n100%|██████████| 50/50 [00:59<00:00, 1.18s/it]", "metrics": { "predict_time": 62.057100424, "total_time": 105.402902 }, "output": "https://replicate.delivery/yhqm/5ereaHQ1ddsRt0rnizdX9BAFfG2iyBFRTszQGhX1cdfHhRehC/out.png", "started_at": "2025-02-15T13:17:07.135802Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/yswh-pu4jqbknxatbjwtjwhseehe3phmaj3wwduc75mdfoytvy2ejn37q", "get": "https://api.replicate.com/v1/predictions/jwyah9y7dsrj40cn170ac7zgdg", "cancel": "https://api.replicate.com/v1/predictions/jwyah9y7dsrj40cn170ac7zgdg/cancel" }, "version": "a4862b811bb3af0baf99cff192e2649bda525b441696d02fb80f40ce52290652" }Generated inSuccessfully logged out. Using control model: oye-cartoon-v2 Generating image with prompt: a man cartoon character, ridding a horse. brown pants Logging in with token The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well. Token is valid (permission: fineGrained). Your token has been saved to /root/.cache/huggingface/token Login successful Using seed: 32864 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:57, 1.18s/it] 4%|▍ | 2/50 [00:02<00:52, 1.10s/it] 6%|▌ | 3/50 [00:03<00:53, 1.14s/it] 8%|▊ | 4/50 [00:04<00:53, 1.16s/it] 10%|█ | 5/50 [00:05<00:52, 1.17s/it] 12%|█▏ | 6/50 [00:06<00:51, 1.17s/it] 14%|█▍ | 7/50 [00:08<00:50, 1.17s/it] 16%|█▌ | 8/50 [00:09<00:49, 1.18s/it] 18%|█▊ | 9/50 [00:10<00:48, 1.18s/it] 20%|██ | 10/50 [00:11<00:47, 1.18s/it] 22%|██▏ | 11/50 [00:12<00:46, 1.18s/it] 24%|██▍ | 12/50 [00:14<00:44, 1.18s/it] 26%|██▌ | 13/50 [00:15<00:43, 1.18s/it] 28%|██▊ | 14/50 [00:16<00:42, 1.18s/it] 30%|███ | 15/50 [00:17<00:41, 1.18s/it] 32%|███▏ | 16/50 [00:18<00:40, 1.18s/it] 34%|███▍ | 17/50 [00:19<00:39, 1.18s/it] 36%|███▌ | 18/50 [00:21<00:37, 1.18s/it] 38%|███▊ | 19/50 [00:22<00:36, 1.18s/it] 40%|████ | 20/50 [00:23<00:35, 1.19s/it] 42%|████▏ | 21/50 [00:24<00:34, 1.18s/it] 44%|████▍ | 22/50 [00:25<00:33, 1.18s/it] 46%|████▌ | 23/50 [00:27<00:31, 1.19s/it] 48%|████▊ | 24/50 [00:28<00:30, 1.18s/it] 50%|█████ | 25/50 [00:29<00:29, 1.18s/it] 52%|█████▏ | 26/50 [00:30<00:28, 1.18s/it] 54%|█████▍ | 27/50 [00:31<00:27, 1.19s/it] 56%|█████▌ | 28/50 [00:33<00:26, 1.18s/it] 58%|█████▊ | 29/50 [00:34<00:24, 1.18s/it] 60%|██████ | 30/50 [00:35<00:23, 1.18s/it] 62%|██████▏ | 31/50 [00:36<00:22, 1.18s/it] 64%|██████▍ | 32/50 [00:37<00:21, 1.18s/it] 66%|██████▌ | 33/50 [00:38<00:20, 1.18s/it] 68%|██████▊ | 34/50 [00:40<00:18, 1.18s/it] 70%|███████ | 35/50 [00:41<00:17, 1.18s/it] 72%|███████▏ | 36/50 [00:42<00:16, 1.19s/it] 74%|███████▍ | 37/50 [00:43<00:15, 1.19s/it] 76%|███████▌ | 38/50 [00:44<00:14, 1.18s/it] 78%|███████▊ | 39/50 [00:46<00:13, 1.18s/it] 80%|████████ | 40/50 [00:47<00:11, 1.18s/it] 82%|████████▏ | 41/50 [00:48<00:10, 1.18s/it] 84%|████████▍ | 42/50 [00:49<00:09, 1.18s/it] 86%|████████▌ | 43/50 [00:50<00:08, 1.18s/it] 88%|████████▊ | 44/50 [00:51<00:07, 1.18s/it] 90%|█████████ | 45/50 [00:53<00:05, 1.18s/it] 92%|█████████▏| 46/50 [00:54<00:04, 1.18s/it] 94%|█████████▍| 47/50 [00:55<00:03, 1.18s/it] 96%|█████████▌| 48/50 [00:56<00:02, 1.18s/it] 98%|█████████▊| 49/50 [00:57<00:01, 1.18s/it] 100%|██████████| 50/50 [00:59<00:00, 1.18s/it] 100%|██████████| 50/50 [00:59<00:00, 1.18s/it]Prediction
thefluxtrain/oye-cartoon:fb784e00IDaqz0my9489rj00cn171tbd968gStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- lora
- saquiboye/oye-cartoon
- image
- model
- oye-cartoon-v2
- prompt
- a man cartoon character, ridding a horse. brown pant and black shoe
- strength
- 0.6
- predictive
- 0
- weight_name
- pytorch_lora_weights.safetensors
- guidance_scale
- 7.5
- image_strength
- 1
- position_delta
- -16
- num_inference_steps
- 50
{ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pant and black shoe", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", { input: { lora: "saquiboye/oye-cartoon", image: "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", model: "oye-cartoon-v2", prompt: "a man cartoon character, ridding a horse. brown pant and black shoe", strength: 0.6, predictive: 0, weight_name: "pytorch_lora_weights.safetensors", guidance_scale: 7.5, image_strength: 1, position_delta: -16, 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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", input={ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pant and black shoe", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon 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": "fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pant and black shoe", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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": "2025-02-15T13:19:59.754528Z", "created_at": "2025-02-15T13:18:58.626000Z", "data_removed": false, "error": null, "id": "aqz0my9489rj00cn171tbd968g", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, ridding a horse. brown pant and black shoe", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "num_inference_steps": 50 }, "logs": "Successfully logged out.\nUsing control model: oye-cartoon-v2\nGenerating image with prompt: a man cartoon character, ridding a horse. brown pant and black shoe\nLogging in with token\nThe token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\nToken is valid (permission: fineGrained).\nYour token has been saved to /root/.cache/huggingface/token\nLogin successful\nUsing seed: 50097\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:57, 1.16s/it]\n 4%|▍ | 2/50 [00:02<00:51, 1.08s/it]\n 6%|▌ | 3/50 [00:03<00:52, 1.12s/it]\n 8%|▊ | 4/50 [00:04<00:52, 1.14s/it]\n 10%|█ | 5/50 [00:05<00:51, 1.15s/it]\n 12%|█▏ | 6/50 [00:06<00:50, 1.15s/it]\n 14%|█▍ | 7/50 [00:08<00:49, 1.16s/it]\n 16%|█▌ | 8/50 [00:09<00:48, 1.16s/it]\n 18%|█▊ | 9/50 [00:10<00:47, 1.16s/it]\n 20%|██ | 10/50 [00:11<00:46, 1.16s/it]\n 22%|██▏ | 11/50 [00:12<00:45, 1.16s/it]\n 24%|██▍ | 12/50 [00:13<00:44, 1.17s/it]\n 26%|██▌ | 13/50 [00:15<00:43, 1.17s/it]\n 28%|██▊ | 14/50 [00:16<00:42, 1.17s/it]\n 30%|███ | 15/50 [00:17<00:40, 1.17s/it]\n 32%|███▏ | 16/50 [00:18<00:39, 1.17s/it]\n 34%|███▍ | 17/50 [00:19<00:38, 1.17s/it]\n 36%|███▌ | 18/50 [00:20<00:37, 1.17s/it]\n 38%|███▊ | 19/50 [00:22<00:36, 1.17s/it]\n 40%|████ | 20/50 [00:23<00:35, 1.17s/it]\n 42%|████▏ | 21/50 [00:24<00:33, 1.17s/it]\n 44%|████▍ | 22/50 [00:25<00:32, 1.17s/it]\n 46%|████▌ | 23/50 [00:26<00:31, 1.17s/it]\n 48%|████▊ | 24/50 [00:27<00:30, 1.17s/it]\n 50%|█████ | 25/50 [00:29<00:29, 1.17s/it]\n 52%|█████▏ | 26/50 [00:30<00:28, 1.17s/it]\n 54%|█████▍ | 27/50 [00:31<00:26, 1.17s/it]\n 56%|█████▌ | 28/50 [00:32<00:25, 1.17s/it]\n 58%|█████▊ | 29/50 [00:33<00:24, 1.17s/it]\n 60%|██████ | 30/50 [00:34<00:23, 1.17s/it]\n 62%|██████▏ | 31/50 [00:36<00:22, 1.17s/it]\n 64%|██████▍ | 32/50 [00:37<00:21, 1.17s/it]\n 66%|██████▌ | 33/50 [00:38<00:19, 1.17s/it]\n 68%|██████▊ | 34/50 [00:39<00:18, 1.17s/it]\n 70%|███████ | 35/50 [00:40<00:17, 1.17s/it]\n 72%|███████▏ | 36/50 [00:41<00:16, 1.17s/it]\n 74%|███████▍ | 37/50 [00:43<00:15, 1.17s/it]\n 76%|███████▌ | 38/50 [00:44<00:14, 1.17s/it]\n 78%|███████▊ | 39/50 [00:45<00:12, 1.17s/it]\n 80%|████████ | 40/50 [00:46<00:11, 1.17s/it]\n 82%|████████▏ | 41/50 [00:47<00:10, 1.17s/it]\n 84%|████████▍ | 42/50 [00:48<00:09, 1.17s/it]\n 86%|████████▌ | 43/50 [00:50<00:08, 1.17s/it]\n 88%|████████▊ | 44/50 [00:51<00:07, 1.17s/it]\n 90%|█████████ | 45/50 [00:52<00:05, 1.17s/it]\n 92%|█████████▏| 46/50 [00:53<00:04, 1.17s/it]\n 94%|█████████▍| 47/50 [00:54<00:03, 1.17s/it]\n 96%|█████████▌| 48/50 [00:55<00:02, 1.17s/it]\n 98%|█████████▊| 49/50 [00:57<00:01, 1.17s/it]\n100%|██████████| 50/50 [00:58<00:00, 1.17s/it]\n100%|██████████| 50/50 [00:58<00:00, 1.17s/it]", "metrics": { "predict_time": 61.116914339, "total_time": 61.128528 }, "output": "https://replicate.delivery/yhqm/ebSA1ozOsqU8SCLMCnE81W4KqtidNLdri9kUvfRofigfnRehC/out.png", "started_at": "2025-02-15T13:18:58.637613Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/yswh-gnj5as4dgxgnn5mn7hzegfejymztyo3t4rup25j7xcjb53dpybpa", "get": "https://api.replicate.com/v1/predictions/aqz0my9489rj00cn171tbd968g", "cancel": "https://api.replicate.com/v1/predictions/aqz0my9489rj00cn171tbd968g/cancel" }, "version": "a4862b811bb3af0baf99cff192e2649bda525b441696d02fb80f40ce52290652" }Generated inSuccessfully logged out. Using control model: oye-cartoon-v2 Generating image with prompt: a man cartoon character, ridding a horse. brown pant and black shoe Logging in with token The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well. Token is valid (permission: fineGrained). Your token has been saved to /root/.cache/huggingface/token Login successful Using seed: 50097 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:57, 1.16s/it] 4%|▍ | 2/50 [00:02<00:51, 1.08s/it] 6%|▌ | 3/50 [00:03<00:52, 1.12s/it] 8%|▊ | 4/50 [00:04<00:52, 1.14s/it] 10%|█ | 5/50 [00:05<00:51, 1.15s/it] 12%|█▏ | 6/50 [00:06<00:50, 1.15s/it] 14%|█▍ | 7/50 [00:08<00:49, 1.16s/it] 16%|█▌ | 8/50 [00:09<00:48, 1.16s/it] 18%|█▊ | 9/50 [00:10<00:47, 1.16s/it] 20%|██ | 10/50 [00:11<00:46, 1.16s/it] 22%|██▏ | 11/50 [00:12<00:45, 1.16s/it] 24%|██▍ | 12/50 [00:13<00:44, 1.17s/it] 26%|██▌ | 13/50 [00:15<00:43, 1.17s/it] 28%|██▊ | 14/50 [00:16<00:42, 1.17s/it] 30%|███ | 15/50 [00:17<00:40, 1.17s/it] 32%|███▏ | 16/50 [00:18<00:39, 1.17s/it] 34%|███▍ | 17/50 [00:19<00:38, 1.17s/it] 36%|███▌ | 18/50 [00:20<00:37, 1.17s/it] 38%|███▊ | 19/50 [00:22<00:36, 1.17s/it] 40%|████ | 20/50 [00:23<00:35, 1.17s/it] 42%|████▏ | 21/50 [00:24<00:33, 1.17s/it] 44%|████▍ | 22/50 [00:25<00:32, 1.17s/it] 46%|████▌ | 23/50 [00:26<00:31, 1.17s/it] 48%|████▊ | 24/50 [00:27<00:30, 1.17s/it] 50%|█████ | 25/50 [00:29<00:29, 1.17s/it] 52%|█████▏ | 26/50 [00:30<00:28, 1.17s/it] 54%|█████▍ | 27/50 [00:31<00:26, 1.17s/it] 56%|█████▌ | 28/50 [00:32<00:25, 1.17s/it] 58%|█████▊ | 29/50 [00:33<00:24, 1.17s/it] 60%|██████ | 30/50 [00:34<00:23, 1.17s/it] 62%|██████▏ | 31/50 [00:36<00:22, 1.17s/it] 64%|██████▍ | 32/50 [00:37<00:21, 1.17s/it] 66%|██████▌ | 33/50 [00:38<00:19, 1.17s/it] 68%|██████▊ | 34/50 [00:39<00:18, 1.17s/it] 70%|███████ | 35/50 [00:40<00:17, 1.17s/it] 72%|███████▏ | 36/50 [00:41<00:16, 1.17s/it] 74%|███████▍ | 37/50 [00:43<00:15, 1.17s/it] 76%|███████▌ | 38/50 [00:44<00:14, 1.17s/it] 78%|███████▊ | 39/50 [00:45<00:12, 1.17s/it] 80%|████████ | 40/50 [00:46<00:11, 1.17s/it] 82%|████████▏ | 41/50 [00:47<00:10, 1.17s/it] 84%|████████▍ | 42/50 [00:48<00:09, 1.17s/it] 86%|████████▌ | 43/50 [00:50<00:08, 1.17s/it] 88%|████████▊ | 44/50 [00:51<00:07, 1.17s/it] 90%|█████████ | 45/50 [00:52<00:05, 1.17s/it] 92%|█████████▏| 46/50 [00:53<00:04, 1.17s/it] 94%|█████████▍| 47/50 [00:54<00:03, 1.17s/it] 96%|█████████▌| 48/50 [00:55<00:02, 1.17s/it] 98%|█████████▊| 49/50 [00:57<00:01, 1.17s/it] 100%|██████████| 50/50 [00:58<00:00, 1.17s/it] 100%|██████████| 50/50 [00:58<00:00, 1.17s/it]Prediction
thefluxtrain/oye-cartoon:fb784e00IDr887qh9pwnrj40cn173a0vkkq0StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- lora
- saquiboye/oye-cartoon
- image
- model
- oye-cartoon-v2
- prompt
- a man cartoon character, driving a car. brown pant
- strength
- 0.6
- predictive
- 0
- weight_name
- pytorch_lora_weights.safetensors
- guidance_scale
- 7.5
- image_strength
- 1
- position_delta
- -16
- num_inference_steps
- 50
{ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, driving a car. brown pant", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", { input: { lora: "saquiboye/oye-cartoon", image: "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", model: "oye-cartoon-v2", prompt: "a man cartoon character, driving a car. brown pant", strength: 0.6, predictive: 0, weight_name: "pytorch_lora_weights.safetensors", guidance_scale: 7.5, image_strength: 1, position_delta: -16, 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 thefluxtrain/oye-cartoon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "thefluxtrain/oye-cartoon:fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", input={ "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, driving a car. brown pant", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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 thefluxtrain/oye-cartoon 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": "fb784e00b257ae5525a9a3eaa8a8be825277bf900dad07653cc4bbe07ef993e4", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, driving a car. brown pant", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "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": "2025-02-15T13:23:26.646790Z", "created_at": "2025-02-15T13:22:20.005000Z", "data_removed": false, "error": null, "id": "r887qh9pwnrj40cn173a0vkkq0", "input": { "lora": "saquiboye/oye-cartoon", "image": "https://replicate.delivery/pbxt/MJa5EcWl474qATQBgPfKV1gQuz9UgxB2kXvUKUy11fefB96N/or.jpg", "model": "oye-cartoon-v2", "prompt": "a man cartoon character, driving a car. brown pant", "strength": 0.6, "predictive": 0, "weight_name": "pytorch_lora_weights.safetensors", "guidance_scale": 7.5, "image_strength": 1, "position_delta": -16, "num_inference_steps": 50 }, "logs": "Successfully logged out.\nUsing control model: oye-cartoon-v2\nGenerating image with prompt: a man cartoon character, driving a car. brown pant\nLogging in with token\nThe token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\nToken is valid (permission: fineGrained).\nYour token has been saved to /root/.cache/huggingface/token\nLogin successful\nUsing seed: 2810\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:57, 1.17s/it]\n 4%|▍ | 2/50 [00:02<00:52, 1.09s/it]\n 6%|▌ | 3/50 [00:03<00:52, 1.13s/it]\n 8%|▊ | 4/50 [00:04<00:52, 1.15s/it]\n 10%|█ | 5/50 [00:05<00:52, 1.16s/it]\n 12%|█▏ | 6/50 [00:06<00:51, 1.16s/it]\n 14%|█▍ | 7/50 [00:08<00:50, 1.16s/it]\n 16%|█▌ | 8/50 [00:09<00:49, 1.17s/it]\n 18%|█▊ | 9/50 [00:10<00:48, 1.17s/it]\n 20%|██ | 10/50 [00:11<00:46, 1.17s/it]\n 22%|██▏ | 11/50 [00:12<00:45, 1.17s/it]\n 24%|██▍ | 12/50 [00:13<00:44, 1.17s/it]\n 26%|██▌ | 13/50 [00:15<00:43, 1.17s/it]\n 28%|██▊ | 14/50 [00:16<00:42, 1.17s/it]\n 30%|███ | 15/50 [00:17<00:41, 1.17s/it]\n 32%|███▏ | 16/50 [00:18<00:39, 1.17s/it]\n 34%|███▍ | 17/50 [00:19<00:38, 1.17s/it]\n 36%|███▌ | 18/50 [00:20<00:37, 1.18s/it]\n 38%|███▊ | 19/50 [00:22<00:36, 1.17s/it]\n 40%|████ | 20/50 [00:23<00:35, 1.17s/it]\n 42%|████▏ | 21/50 [00:24<00:34, 1.17s/it]\n 44%|████▍ | 22/50 [00:25<00:32, 1.18s/it]\n 46%|████▌ | 23/50 [00:26<00:31, 1.17s/it]\n 48%|████▊ | 24/50 [00:28<00:30, 1.17s/it]\n 50%|█████ | 25/50 [00:29<00:29, 1.17s/it]\n 52%|█████▏ | 26/50 [00:30<00:28, 1.18s/it]\n 54%|█████▍ | 27/50 [00:31<00:27, 1.17s/it]\n 56%|█████▌ | 28/50 [00:32<00:25, 1.17s/it]\n 58%|█████▊ | 29/50 [00:33<00:24, 1.18s/it]\n 60%|██████ | 30/50 [00:35<00:23, 1.17s/it]\n 62%|██████▏ | 31/50 [00:36<00:22, 1.17s/it]\n 64%|██████▍ | 32/50 [00:37<00:21, 1.17s/it]\n 66%|██████▌ | 33/50 [00:38<00:19, 1.18s/it]\n 68%|██████▊ | 34/50 [00:39<00:18, 1.17s/it]\n 70%|███████ | 35/50 [00:40<00:17, 1.17s/it]\n 72%|███████▏ | 36/50 [00:42<00:16, 1.17s/it]\n 74%|███████▍ | 37/50 [00:43<00:15, 1.17s/it]\n 76%|███████▌ | 38/50 [00:44<00:14, 1.17s/it]\n 78%|███████▊ | 39/50 [00:45<00:12, 1.17s/it]\n 80%|████████ | 40/50 [00:46<00:11, 1.17s/it]\n 82%|████████▏ | 41/50 [00:47<00:10, 1.17s/it]\n 84%|████████▍ | 42/50 [00:49<00:09, 1.17s/it]\n 86%|████████▌ | 43/50 [00:50<00:08, 1.17s/it]\n 88%|████████▊ | 44/50 [00:51<00:07, 1.17s/it]\n 90%|█████████ | 45/50 [00:52<00:05, 1.17s/it]\n 92%|█████████▏| 46/50 [00:53<00:04, 1.17s/it]\n 94%|█████████▍| 47/50 [00:55<00:03, 1.17s/it]\n 96%|█████████▌| 48/50 [00:56<00:02, 1.17s/it]\n 98%|█████████▊| 49/50 [00:57<00:01, 1.17s/it]\n100%|██████████| 50/50 [00:58<00:00, 1.17s/it]\n100%|██████████| 50/50 [00:58<00:00, 1.17s/it]", "metrics": { "predict_time": 61.483252193, "total_time": 66.64179 }, "output": "https://replicate.delivery/yhqm/prQ5QXdpFGp9NtCWMZViMWdVtLSUQXdvZx3ch5ihLUqTH5DF/out.png", "started_at": "2025-02-15T13:22:25.163537Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/yswh-hddg7uk6kwvkue5nstuafju7akkgp5f5mb63gmbfhd7m6dwqvswa", "get": "https://api.replicate.com/v1/predictions/r887qh9pwnrj40cn173a0vkkq0", "cancel": "https://api.replicate.com/v1/predictions/r887qh9pwnrj40cn173a0vkkq0/cancel" }, "version": "a4862b811bb3af0baf99cff192e2649bda525b441696d02fb80f40ce52290652" }Generated inSuccessfully logged out. Using control model: oye-cartoon-v2 Generating image with prompt: a man cartoon character, driving a car. brown pant Logging in with token The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well. Token is valid (permission: fineGrained). Your token has been saved to /root/.cache/huggingface/token Login successful Using seed: 2810 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:57, 1.17s/it] 4%|▍ | 2/50 [00:02<00:52, 1.09s/it] 6%|▌ | 3/50 [00:03<00:52, 1.13s/it] 8%|▊ | 4/50 [00:04<00:52, 1.15s/it] 10%|█ | 5/50 [00:05<00:52, 1.16s/it] 12%|█▏ | 6/50 [00:06<00:51, 1.16s/it] 14%|█▍ | 7/50 [00:08<00:50, 1.16s/it] 16%|█▌ | 8/50 [00:09<00:49, 1.17s/it] 18%|█▊ | 9/50 [00:10<00:48, 1.17s/it] 20%|██ | 10/50 [00:11<00:46, 1.17s/it] 22%|██▏ | 11/50 [00:12<00:45, 1.17s/it] 24%|██▍ | 12/50 [00:13<00:44, 1.17s/it] 26%|██▌ | 13/50 [00:15<00:43, 1.17s/it] 28%|██▊ | 14/50 [00:16<00:42, 1.17s/it] 30%|███ | 15/50 [00:17<00:41, 1.17s/it] 32%|███▏ | 16/50 [00:18<00:39, 1.17s/it] 34%|███▍ | 17/50 [00:19<00:38, 1.17s/it] 36%|███▌ | 18/50 [00:20<00:37, 1.18s/it] 38%|███▊ | 19/50 [00:22<00:36, 1.17s/it] 40%|████ | 20/50 [00:23<00:35, 1.17s/it] 42%|████▏ | 21/50 [00:24<00:34, 1.17s/it] 44%|████▍ | 22/50 [00:25<00:32, 1.18s/it] 46%|████▌ | 23/50 [00:26<00:31, 1.17s/it] 48%|████▊ | 24/50 [00:28<00:30, 1.17s/it] 50%|█████ | 25/50 [00:29<00:29, 1.17s/it] 52%|█████▏ | 26/50 [00:30<00:28, 1.18s/it] 54%|█████▍ | 27/50 [00:31<00:27, 1.17s/it] 56%|█████▌ | 28/50 [00:32<00:25, 1.17s/it] 58%|█████▊ | 29/50 [00:33<00:24, 1.18s/it] 60%|██████ | 30/50 [00:35<00:23, 1.17s/it] 62%|██████▏ | 31/50 [00:36<00:22, 1.17s/it] 64%|██████▍ | 32/50 [00:37<00:21, 1.17s/it] 66%|██████▌ | 33/50 [00:38<00:19, 1.18s/it] 68%|██████▊ | 34/50 [00:39<00:18, 1.17s/it] 70%|███████ | 35/50 [00:40<00:17, 1.17s/it] 72%|███████▏ | 36/50 [00:42<00:16, 1.17s/it] 74%|███████▍ | 37/50 [00:43<00:15, 1.17s/it] 76%|███████▌ | 38/50 [00:44<00:14, 1.17s/it] 78%|███████▊ | 39/50 [00:45<00:12, 1.17s/it] 80%|████████ | 40/50 [00:46<00:11, 1.17s/it] 82%|████████▏ | 41/50 [00:47<00:10, 1.17s/it] 84%|████████▍ | 42/50 [00:49<00:09, 1.17s/it] 86%|████████▌ | 43/50 [00:50<00:08, 1.17s/it] 88%|████████▊ | 44/50 [00:51<00:07, 1.17s/it] 90%|█████████ | 45/50 [00:52<00:05, 1.17s/it] 92%|█████████▏| 46/50 [00:53<00:04, 1.17s/it] 94%|█████████▍| 47/50 [00:55<00:03, 1.17s/it] 96%|█████████▌| 48/50 [00:56<00:02, 1.17s/it] 98%|█████████▊| 49/50 [00:57<00:01, 1.17s/it] 100%|██████████| 50/50 [00:58<00:00, 1.17s/it] 100%|██████████| 50/50 [00:58<00:00, 1.17s/it]
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