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