grandlineai/instant-id-photorealistic 🖼️🔢📝 → 🖼️
About
InstantID : Zero-shot Identity-Preserving Generation in Seconds. Using Juggernaut-XL v8 as the base model to encourage photorealism

Example Output
Prompt:
"glowing, robe, fog, mist, smoke, girl composed of white light, girl composed of black smoke, fire, sun, 1girl, long hair, solo, photorealistic, cowboy shot, cinematic angle, fisheye, motion blur, blue fire, rain, Long hair fluttering in the wind, long, wave, cinematic film still"
Output

Performance Metrics
34.96s
Prediction Time
35.00s
Total Time
All Input Parameters
{ "image": "https://replicate.delivery/pbxt/KHU47j4Ad3rbq6TVxRuwFhyyX6HYmWrCSlUuVOM3q3ORKgVt/demo.png", "width": 640, "height": 640, "prompt": "glowing, robe, fog, mist, smoke, girl composed of white light, girl composed of black smoke, fire, sun, 1girl, long hair, solo, photorealistic, cowboy shot, cinematic angle, fisheye, motion blur, blue fire, rain, Long hair fluttering in the wind, long, wave, cinematic film still", "guidance_scale": 5, "ip_adapter_scale": 0.8, "num_inference_steps": 30, "controlnet_conditioning_scale": 0.6 }
Input Parameters
- image (required)
- Input image
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Input Negative Prompt
- ip_adapter_scale
- Scale for IP adapter
- num_inference_steps
- Number of denoising steps
- controlnet_conditioning_scale
- Scale for ControlNet conditioning
Output Schema
Output
Example Execution Logs
0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:19, 1.47it/s] 7%|▋ | 2/30 [00:01<00:19, 1.47it/s] 10%|█ | 3/30 [00:02<00:18, 1.46it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.46it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.46it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.46it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.46it/s] 30%|███ | 9/30 [00:06<00:14, 1.46it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.46it/s] 37%|███▋ | 11/30 [00:07<00:13, 1.46it/s] 40%|████ | 12/30 [00:08<00:12, 1.46it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.46it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.46it/s] 50%|█████ | 15/30 [00:10<00:10, 1.46it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.46it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.46it/s] 60%|██████ | 18/30 [00:12<00:08, 1.46it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.46it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.46it/s] 70%|███████ | 21/30 [00:14<00:06, 1.46it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.46it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.46it/s] 80%|████████ | 24/30 [00:16<00:04, 1.46it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.46it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.46it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.46it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.46it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.46it/s] 100%|██████████| 30/30 [00:20<00:00, 1.46it/s] 100%|██████████| 30/30 [00:20<00:00, 1.46it/s]
Version Details
- Version ID
03914a0c3326bf44383d0cd84b06822618af879229ce5d1d53bef38d93b68279
- Version Created
- January 24, 2024