helios-infotech/sketch_to_image 🔢🖼️📝 → 🖼️
Performance
32.0sTypical run time
~190sCold start (first call)
2.5KTotal runs
About
AI that transforms sketches into realistic images. Upload your drawing and describe it in the prompt. You can also adjust the ControlNet parameters and scale the image to a higher resolution for better results
Example Output
Prompt:
"a photo of interior of a home, sofa, carpet, realistic,4k"
Output
Performance Metrics
32.03s
Prediction Time
190.16s
Total Time
All Input Parameters
{
"seed": 0,
"image": "https://replicate.delivery/pbxt/L1czB5TWtOa0X7kdsFFhYpyX8yOR3k2VVh3vXnIdNkQylCu5/430d87ed19a5e7c4ef75158c271a45cb.jpg",
"scale": 2,
"prompt": "a photo of interior of a home, sofa, carpet, realistic,4k",
"cn_depth_strength": 1,
"cn_lineart_strength": 1,
"num_inference_steps": 30
}
Input Parameters
- seed
- Enter seed > 0,if you enter 0 it will generate random seed
- image (required)
- sketch image
- scale
- Factor to scale image by
- prompt
- cn_depth_strength
- Depth controlnet strength
- cn_lineart_strength
- Line art controlnet strength
- num_inference_steps
- Number of inference steps to generate image
Output Schema
Output
Example Execution Logs
/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/functional.py:512: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3587.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] 0%| | 0/30 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.14/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.) return F.conv2d(input, weight, bias, self.stride, 3%|▎ | 1/30 [00:01<00:33, 1.16s/it] 10%|█ | 3/30 [00:01<00:10, 2.64it/s] 17%|█▋ | 5/30 [00:01<00:05, 4.31it/s] 23%|██▎ | 7/30 [00:01<00:03, 5.80it/s] 30%|███ | 9/30 [00:01<00:03, 7.00it/s] 33%|███▎ | 10/30 [00:02<00:02, 7.44it/s] 40%|████ | 12/30 [00:02<00:02, 8.40it/s] 47%|████▋ | 14/30 [00:02<00:01, 8.93it/s] 53%|█████▎ | 16/30 [00:02<00:01, 9.39it/s] 60%|██████ | 18/30 [00:02<00:01, 9.78it/s] 67%|██████▋ | 20/30 [00:02<00:00, 10.02it/s] 73%|███████▎ | 22/30 [00:03<00:00, 10.19it/s] 80%|████████ | 24/30 [00:03<00:00, 10.20it/s] 87%|████████▋ | 26/30 [00:03<00:00, 10.32it/s] 93%|█████████▎| 28/30 [00:03<00:00, 10.34it/s] 100%|██████████| 30/30 [00:03<00:00, 10.34it/s] 100%|██████████| 30/30 [00:03<00:00, 7.61it/s]
Version Details
- Version ID
feb7325e48612a443356bff3d0e03af21a42570f87bee6e8ea4f275f2bd3e6f9- Version Created
- September 1, 2024