usamaehsan/instant-id-x-juggernaut 🖼️🔢📝✓❓ → 🖼️
About
Example Output
Prompt:
"This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait"
Output
Performance Metrics
18.87s
Prediction Time
194.45s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/KKhSlVNlQj10hguaYY8wbGgdaxvVBMQmm9Lw6a1PXiRrGCwj/53894527.jpg",
"width": 1051,
"height": 1040,
"prompt": "This is Eric Draven The Crow Movie 1994 version, Brandon Lee, realistic, 8k, the crow bird, portrait",
"max_side": 1280,
"min_side": 1024,
"scheduler": "UniPCMultistep",
"resize_image": true,
"guidance_scale": 3.5,
"negative_prompt": "",
"ip_adapter_scale": 1,
"enhance_face_region": true,
"num_inference_steps": 10,
"micro_detail_lora_weight": 0,
"controlnet_conditioning_scale": 0.6
}
Input Parameters
- image
- Input image
- width
- Width for face detection
- height
- Height for face detection
- image2
- face image2
- prompt
- Input prompt
- get_age
- max_side
- min resolution // if resize image is on
- min_side
- min resolution // if resize image is on
- scheduler
- Choose a scheduler.
- pose_image
- pose image
- use_gfpgan
- resize_image
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Input Negative Prompt
- ip_adapter_scale
- Scale for IP adapter
- enhance_face_region
- num_inference_steps
- Number of denoising steps
- use_controlnet_pose
- lightning_lora_weight
- disabled on 0 --> i thinkkk
- micro_detail_lora_weight
- disabled on 0
- controlnet_conditioning_scale
- Scale for ControlNet conditioning
- pose_controlnet_conditioning_scale
- Scale for ControlNet conditioning
Output Schema
Output
Example Execution Logs
[!] Resizing output to 1051x1040
set det-size: (1051, 1040)
warning: det_size is already set in detection model, ignore
Time taken to resize image-- : -0.03 seconds
/root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/insightface/utils/transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4
Time taken to get face info-- : -6.44 seconds
Time taken to draw kps-- : -0.14 seconds
Time taken to enhance face region-- : -0.01 seconds
0%| | 0/10 [00:00<?, ?it/s]
10%|█ | 1/10 [00:02<00:25, 2.80s/it]
20%|██ | 2/10 [00:03<00:12, 1.55s/it]
30%|███ | 3/10 [00:04<00:08, 1.16s/it]
40%|████ | 4/10 [00:04<00:05, 1.04it/s]
50%|█████ | 5/10 [00:05<00:04, 1.16it/s]
60%|██████ | 6/10 [00:06<00:03, 1.26it/s]
70%|███████ | 7/10 [00:06<00:02, 1.32it/s]
80%|████████ | 8/10 [00:07<00:01, 1.37it/s]
90%|█████████ | 9/10 [00:08<00:00, 1.40it/s]
100%|██████████| 10/10 [00:08<00:00, 1.43it/s]
100%|██████████| 10/10 [00:08<00:00, 1.13it/s]
/root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/peft/tuners/lora/layer.py:595: UserWarning: Already unmerged. Nothing to do.
warnings.warn("Already unmerged. Nothing to do.")
/root/.pyenv/versions/3.11.7/lib/python3.11/site-packages/peft/tuners/lora/layer.py:256: UserWarning: Already unmerged. Nothing to do.
warnings.warn("Already unmerged. Nothing to do.")
Version Details
- Version ID
a69b948db098683030b614504f7375c374627604637398dc23eb99db11b33962- Version Created
- March 13, 2024