thefluxtrain/oye-cartoon 🔢📝✓🖼️❓ → 🖼️
About
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.

Example Output
Prompt:
"a man cartoon character, sitting on a chair. brown pants"
Output

Performance Metrics
67.03s
Prediction Time
148.22s
Total Time
All Input Parameters
{ "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 }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of the output image
- height
- Height of the output image
- prompt
- Input prompt.
- controls
- JSON string of control models to use
- strength
- Strength of the inpainting
- is_runpod
- Is this running on RunPod?
- init_image
- Initial image for inpainting
- mask_image
- Mask image for inpainting
- predictive
- Predict similarity
- crop_inpaint
- Crop the image for inpainting
- guidance_scale
- Scale for classifier-free guidance
- condition_image
- Condition image
- condition_model
- Condition model
- condition_strength
- Condition strength
- num_inference_steps
- Number of denoising steps
- do_differential_inpaint
- Do differential inpainting?
Output Schema
Output
Example Execution Logs
Not 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]
Version Details
- Version ID
43fae779ef3b0ad14b0dd49bb95a9ab1a06bbfebfbc1cebf95919dfb462a6786
- Version Created
- June 3, 2025