adarshnagrikar14/manhwa-ai 🔢📝🖼️ → 🖼️
About

Example Output
Prompt:
"Turn this bald, brown-skinned man with a long gray beard and glasses into a K-pop manhwa-style character. Maintain strong facial resemblance: his round head shape, thick beard (styled smoothly and sharply like a pop icon), and glasses — but update the frames to look modern and sleek. Make his eyes expressive and charismatic, classic manhwa style but still grounded in realism. Give him a bright smile and clean, glowing skin. Dress him in a black, stylish performance outfit with layered silver chains and rings. Place a vibrant K-pop stage in the background with red neon lights and dramatic spotlights for a high-energy performance vibe. Emphasize idol confidence and coolness while preserving the original character and facial features."
Output

Performance Metrics
21.06s
Prediction Time
72.32s
Total Time
All Input Parameters
{ "seed": 42, "width": 768, "height": 768, "prompt": "Turn this bald, brown-skinned man with a long gray beard and glasses into a K-pop manhwa-style character. Maintain strong facial resemblance: his round head shape, thick beard (styled smoothly and sharply like a pop icon), and glasses — but update the frames to look modern and sleek. Make his eyes expressive and charismatic, classic manhwa style but still grounded in realism. Give him a bright smile and clean, glowing skin. Dress him in a black, stylish performance outfit with layered silver chains and rings. Place a vibrant K-pop stage in the background with red neon lights and dramatic spotlights for a high-energy performance vibe. Emphasize idol confidence and coolness while preserving the original character and facial features.", "lora_scale": 1, "spatial_img": "https://vzgwpzccjffstvxfjqvq.supabase.co/storage/v1/object/public/burger-king/user-uploads/mnk-1745315968473-user.png", "control_type": "Manhwa" }
Input Parameters
- seed
- Random seed
- width
- Width of the output image
- height
- Height of the output image
- cond_size
- Conditioning size
- expression
- Desired facial expression for the manhwa style (e.g., 'happy', 'angry', 'surprised', 'neutral')
- input_image (required)
- Input image for editing and subject conditioning
- inpainting_mask (required)
- Inpainting mask image (white areas will be inpainted)
- subject_lora_scale
- Scale for the Subject LoRA weights
- num_inference_steps
- Number of denoising steps
- inpainting_lora_scale
- Scale for the Inpainting LoRA weights
Output Schema
Output
Example Execution Logs
Loading .safetensors checkpoint from ./models/studio.safetensors Token indices sequence length is longer than the specified maximum sequence length for this model (149 > 77). Running this sequence through the model will result in indexing errors The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['in realism. give him a bright smile and clean, glowing skin. dress him in a black, stylish performance outfit with layered silver chains and rings. place a vibrant k - pop stage in the background with red neon lights and dramatic spotlights for a high - energy performance vibe. emphasize idol confidence and coolness while preserving the original character and facial features.'] 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:17, 2.28it/s] 5%|▌ | 2/40 [00:00<00:13, 2.73it/s] 8%|▊ | 3/40 [00:01<00:14, 2.55it/s] 10%|█ | 4/40 [00:01<00:14, 2.48it/s] 12%|█▎ | 5/40 [00:02<00:14, 2.43it/s] 15%|█▌ | 6/40 [00:02<00:14, 2.41it/s] 18%|█▊ | 7/40 [00:02<00:13, 2.40it/s] 20%|██ | 8/40 [00:03<00:13, 2.38it/s] 22%|██▎ | 9/40 [00:03<00:13, 2.38it/s] 25%|██▌ | 10/40 [00:04<00:12, 2.37it/s] 28%|██▊ | 11/40 [00:04<00:12, 2.37it/s] 30%|███ | 12/40 [00:04<00:11, 2.37it/s] 32%|███▎ | 13/40 [00:05<00:11, 2.37it/s] 35%|███▌ | 14/40 [00:05<00:11, 2.36it/s] 38%|███▊ | 15/40 [00:06<00:10, 2.36it/s] 40%|████ | 16/40 [00:06<00:10, 2.36it/s] 42%|████▎ | 17/40 [00:07<00:09, 2.36it/s] 45%|████▌ | 18/40 [00:07<00:09, 2.36it/s] 48%|████▊ | 19/40 [00:07<00:08, 2.36it/s] 50%|█████ | 20/40 [00:08<00:08, 2.36it/s] 52%|█████▎ | 21/40 [00:08<00:08, 2.36it/s] 55%|█████▌ | 22/40 [00:09<00:07, 2.36it/s] 57%|█████▊ | 23/40 [00:09<00:07, 2.36it/s] 60%|██████ | 24/40 [00:10<00:06, 2.36it/s] 62%|██████▎ | 25/40 [00:10<00:06, 2.36it/s] 65%|██████▌ | 26/40 [00:10<00:05, 2.36it/s] 68%|██████▊ | 27/40 [00:11<00:05, 2.36it/s] 70%|███████ | 28/40 [00:11<00:05, 2.36it/s] 72%|███████▎ | 29/40 [00:12<00:04, 2.36it/s] 75%|███████▌ | 30/40 [00:12<00:04, 2.36it/s] 78%|███████▊ | 31/40 [00:13<00:03, 2.36it/s] 80%|████████ | 32/40 [00:13<00:03, 2.36it/s] 82%|████████▎ | 33/40 [00:13<00:02, 2.36it/s] 85%|████████▌ | 34/40 [00:14<00:02, 2.36it/s] 88%|████████▊ | 35/40 [00:14<00:02, 2.36it/s] 90%|█████████ | 36/40 [00:15<00:01, 2.36it/s] 92%|█████████▎| 37/40 [00:15<00:01, 2.36it/s] 95%|█████████▌| 38/40 [00:16<00:00, 2.36it/s] 98%|█████████▊| 39/40 [00:16<00:00, 2.36it/s] 100%|██████████| 40/40 [00:16<00:00, 2.36it/s] 100%|██████████| 40/40 [00:16<00:00, 2.37it/s]
Version Details
- Version ID
2cfc253b2070af68f932afced7959b05de1e4ec800200ef945f338d3c289a8a1
- Version Created
- May 1, 2025