kelvincai522/photomaker-v1-lightning 🔢📝❓🖼️ → 🖼️
About
Photomaker V1 optimized with Lightning 8steps

Example Output
Prompt:
"score_9 score_8_up score_7_up anime img 1girl masterpiece very_aesthetic hi_res absurd_res superabsurd_res"
Output

Performance Metrics
44.68s
Prediction Time
87.24s
Total Time
All Input Parameters
{ "prompt": "score_9 score_8_up score_7_up anime img 1girl masterpiece very_aesthetic hi_res absurd_res superabsurd_res", "num_steps": 16, "style_name": "(No style)", "input_image": "https://replicate.delivery/pbxt/KFRc9kyW6lLALePRbphzLaZnMyqjYUH8Tles73OvOVfXUcj8/yangmi_1.jpg", "num_outputs": 1, "guidance_scale": 5, "negative_prompt": "score_1 score_2 score_3 worst_quality bad_quality jpeg_artifacts source_cartoon 3d censor+ monochrome blurry lowres watermark text low_res oversaturated crappy_art low_quality blurry bad_anatomy extra_digits fewer_digits simple_background very_displeasing watermark signature", "style_strength_ratio": 15 }
Input Parameters
- seed
- Seed. Leave blank to use a random number
- prompt
- Prompt. Example: 'a photo of a man/woman img'. The phrase 'img' is the trigger word.
- num_steps
- Number of sample steps
- style_name
- Style template. The style template will add a style-specific prompt and negative prompt to the user's prompt.
- input_image
- The input image, for example a photo of your face.
- num_outputs
- Number of output images
- input_image2
- Additional input image (optional)
- input_image3
- Additional input image (optional)
- input_image4
- Additional input image (optional)
- guidance_scale
- Guidance scale. A guidance scale of 1 corresponds to doing no classifier free guidance.
- negative_prompt
- Negative Prompt. The negative prompt should NOT contain the trigger word.
- style_strength_ratio
- Style strength (%)
Output Schema
Output
Example Execution Logs
Using seed 720498486... Loading image /tmp/tmpcgshv8a6yangmi_1.jpg... Setting seed... Start inference... [Debug] Prompt: score_9 score_8_up score_7_up anime img 1girl masterpiece very_aesthetic hi_res absurd_res superabsurd_res [Debug] Neg Prompt: score_1 score_2 score_3 worst_quality bad_quality jpeg_artifacts source_cartoon 3d censor+ monochrome blurry lowres watermark text low_res oversaturated crappy_art low_quality blurry bad_anatomy extra_digits fewer_digits simple_background very_displeasing watermark signature Start merge step: 2 /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/torch/cuda/graphs.py:88: UserWarning: The CUDA Graph is empty. This usually means that the graph was attempted to be captured on wrong device or stream. (Triggered internally at ../aten/src/ATen/cuda/CUDAGraph.cpp:224.) super().capture_end() /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! return func(*args, **kwargs) /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: Converting a tensor to a Python list might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! return func(*args, **kwargs) /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! return func(*args, **kwargs) /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. return func(*args, **kwargs) /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/utils/flat_tensors.py:275: TracerWarning: torch.Tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. return super().__new__(cls, x, *args, **kwargs) /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: torch.as_tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. return func(*args, **kwargs) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:37<09:17, 37.14s/it] 12%|█▎ | 2/16 [00:37<03:35, 15.36s/it] 19%|█▉ | 3/16 [00:37<01:49, 8.40s/it] 25%|██▌ | 4/16 [00:37<01:01, 5.13s/it] 31%|███▏ | 5/16 [00:37<00:36, 3.32s/it] 38%|███▊ | 6/16 [00:37<00:22, 2.23s/it] 44%|████▍ | 7/16 [00:37<00:13, 1.54s/it] 50%|█████ | 8/16 [00:37<00:08, 1.08s/it] 56%|█████▋ | 9/16 [00:38<00:05, 1.28it/s] 62%|██████▎ | 10/16 [00:38<00:03, 1.74it/s] 69%|██████▉ | 11/16 [00:38<00:02, 2.31it/s] 75%|███████▌ | 12/16 [00:38<00:01, 2.98it/s] 81%|████████▏ | 13/16 [00:38<00:00, 3.73it/s] 88%|████████▊ | 14/16 [00:38<00:00, 4.52it/s] 94%|█████████▍| 15/16 [00:38<00:00, 5.30it/s] 100%|██████████| 16/16 [00:38<00:00, 6.03it/s] 100%|██████████| 16/16 [00:38<00:00, 2.43s/it] /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: Converting a tensor to a Python number might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! return func(*args, **kwargs) /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. return func(*args, **kwargs) /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/sfast/jit/overrides.py:21: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! return func(*args, **kwargs) Saving images to file...
Version Details
- Version ID
bea9c27a8620bda18eab53bce5b65afe3fabdb55e15316d90d0c38b0f41e1f9c
- Version Created
- May 18, 2025