wren93/consisti2v 🔢🖼️📝 → 🖼️
About
A diffusion-based method to enhance visual consistency for I2V generation

Example Output
Prompt:
"timelapse at the snow land with aurora in the sky"
Output
Performance Metrics
37.08s
Prediction Time
81.43s
Total Time
All Input Parameters
{ "image": "https://replicate.delivery/pbxt/KVX68CBiatzs0asnIyqWZJORA4g5K5TWjts1WSmonroU9kAv/example_01.png", "prompt": "timelapse at the snow land with aurora in the sky", "num_inference_steps": 50, "text_guidance_scale": 7.5, "image_guidance_scale": 1 }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- image (required)
- Input image as the first frame of the video.
- prompt
- Input prompt
- negative_prompt
- Input Negative Prompt
- num_inference_steps
- Number of denoising steps
- text_guidance_scale
- Scale for classifier-free guidance from the text
- image_guidance_scale
- Scale for classifier-free guidance from the image
Output Schema
Output
Example Execution Logs
Using seed: 57509 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:33, 1.45it/s] 4%|▍ | 2/50 [00:01<00:32, 1.46it/s] 6%|▌ | 3/50 [00:02<00:32, 1.46it/s] 8%|▊ | 4/50 [00:02<00:31, 1.47it/s] 10%|█ | 5/50 [00:03<00:30, 1.47it/s] 12%|█▏ | 6/50 [00:04<00:29, 1.47it/s] 14%|█▍ | 7/50 [00:04<00:29, 1.47it/s] 16%|█▌ | 8/50 [00:05<00:28, 1.46it/s] 18%|█▊ | 9/50 [00:06<00:28, 1.46it/s] 20%|██ | 10/50 [00:06<00:27, 1.47it/s] 22%|██▏ | 11/50 [00:07<00:26, 1.47it/s] 24%|██▍ | 12/50 [00:08<00:25, 1.47it/s] 26%|██▌ | 13/50 [00:08<00:25, 1.47it/s] 28%|██▊ | 14/50 [00:09<00:24, 1.47it/s] 30%|███ | 15/50 [00:10<00:23, 1.47it/s] 32%|███▏ | 16/50 [00:10<00:23, 1.47it/s] 34%|███▍ | 17/50 [00:11<00:22, 1.47it/s] 36%|███▌ | 18/50 [00:12<00:21, 1.47it/s] 38%|███▊ | 19/50 [00:12<00:21, 1.47it/s] 40%|████ | 20/50 [00:13<00:20, 1.47it/s] 42%|████▏ | 21/50 [00:14<00:19, 1.47it/s] 44%|████▍ | 22/50 [00:14<00:19, 1.47it/s] 46%|████▌ | 23/50 [00:15<00:18, 1.47it/s] 48%|████▊ | 24/50 [00:16<00:17, 1.47it/s] 50%|█████ | 25/50 [00:17<00:17, 1.47it/s] 52%|█████▏ | 26/50 [00:17<00:16, 1.47it/s] 54%|█████▍ | 27/50 [00:18<00:15, 1.47it/s] 56%|█████▌ | 28/50 [00:19<00:15, 1.47it/s] 58%|█████▊ | 29/50 [00:19<00:14, 1.46it/s] 60%|██████ | 30/50 [00:20<00:13, 1.46it/s] 62%|██████▏ | 31/50 [00:21<00:12, 1.46it/s] 64%|██████▍ | 32/50 [00:21<00:12, 1.46it/s] 66%|██████▌ | 33/50 [00:22<00:11, 1.46it/s] 68%|██████▊ | 34/50 [00:23<00:10, 1.46it/s] 70%|███████ | 35/50 [00:23<00:10, 1.46it/s] 72%|███████▏ | 36/50 [00:24<00:09, 1.46it/s] 74%|███████▍ | 37/50 [00:25<00:08, 1.46it/s] 76%|███████▌ | 38/50 [00:25<00:08, 1.46it/s] 78%|███████▊ | 39/50 [00:26<00:07, 1.46it/s] 80%|████████ | 40/50 [00:27<00:06, 1.46it/s] 82%|████████▏ | 41/50 [00:27<00:06, 1.46it/s] 84%|████████▍ | 42/50 [00:28<00:05, 1.46it/s] 86%|████████▌ | 43/50 [00:29<00:04, 1.46it/s] 88%|████████▊ | 44/50 [00:30<00:04, 1.45it/s] 90%|█████████ | 45/50 [00:30<00:03, 1.45it/s] 92%|█████████▏| 46/50 [00:31<00:02, 1.45it/s] 94%|█████████▍| 47/50 [00:32<00:02, 1.45it/s] 96%|█████████▌| 48/50 [00:32<00:01, 1.45it/s] 98%|█████████▊| 49/50 [00:33<00:00, 1.46it/s] 100%|██████████| 50/50 [00:34<00:00, 1.46it/s] 100%|██████████| 50/50 [00:34<00:00, 1.46it/s] 0%| | 0/16 [00:00<?, ?it/s] 50%|█████ | 8/16 [00:00<00:00, 67.44it/s] 94%|█████████▍| 15/16 [00:00<00:00, 51.03it/s] 100%|██████████| 16/16 [00:00<00:00, 52.30it/s]
Version Details
- Version ID
ce1f2912887d0e1926988004122f9049ff69f4b749b6221ed1dfcfc9487dc71b
- Version Created
- March 3, 2024