charlesmccarthy/terminus-xl-gamma-v2 🔢📝❓✓ → 🖼️
About
Terminus XL Gamma is a new state-of-the-art latent diffusion model that uses zero-terminal SNR noise schedule and velocity prediction objective at training and inference time.
Example Output
Prompt:
"joe biden eating a cheeseburger at mcdonalds"
Output
Performance Metrics
8.22s
Prediction Time
8.26s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "joe biden eating a cheeseburger at mcdonalds",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 6.5,
"apply_watermark": false,
"negative_prompt": "",
"num_inference_steps": 32
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- scheduler
- scheduler
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance
- apply_watermark
- Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
- negative_prompt
- Input Negative Prompt
- num_inference_steps
- Number of denoising steps
- disable_safety_checker
- Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)
Output Schema
Output
Example Execution Logs
Using seed: 10943700 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:06, 5.02it/s] 9%|▉ | 3/32 [00:00<00:04, 6.21it/s] 12%|█▎ | 4/32 [00:00<00:04, 5.75it/s] 16%|█▌ | 5/32 [00:00<00:04, 5.49it/s] 19%|█▉ | 6/32 [00:01<00:04, 5.32it/s] 22%|██▏ | 7/32 [00:01<00:04, 5.21it/s] 25%|██▌ | 8/32 [00:01<00:04, 5.15it/s] 28%|██▊ | 9/32 [00:01<00:04, 5.11it/s] 31%|███▏ | 10/32 [00:01<00:04, 5.08it/s] 34%|███▍ | 11/32 [00:02<00:04, 5.06it/s] 38%|███▊ | 12/32 [00:02<00:03, 5.04it/s] 41%|████ | 13/32 [00:02<00:03, 5.03it/s] 44%|████▍ | 14/32 [00:02<00:03, 5.02it/s] 47%|████▋ | 15/32 [00:02<00:03, 5.02it/s] 50%|█████ | 16/32 [00:03<00:03, 5.01it/s] 53%|█████▎ | 17/32 [00:03<00:02, 5.01it/s] 56%|█████▋ | 18/32 [00:03<00:02, 5.01it/s] 59%|█████▉ | 19/32 [00:03<00:02, 5.00it/s] 62%|██████▎ | 20/32 [00:03<00:02, 5.00it/s] 66%|██████▌ | 21/32 [00:04<00:02, 5.00it/s] 69%|██████▉ | 22/32 [00:04<00:01, 5.00it/s] 72%|███████▏ | 23/32 [00:04<00:01, 4.99it/s] 75%|███████▌ | 24/32 [00:04<00:01, 4.99it/s] 78%|███████▊ | 25/32 [00:04<00:01, 5.00it/s] 81%|████████▏ | 26/32 [00:05<00:01, 4.99it/s] 84%|████████▍ | 27/32 [00:05<00:01, 4.99it/s] 88%|████████▊ | 28/32 [00:05<00:00, 4.99it/s] 91%|█████████ | 29/32 [00:05<00:00, 4.99it/s] 94%|█████████▍| 30/32 [00:05<00:00, 4.99it/s] 97%|█████████▋| 31/32 [00:06<00:00, 4.99it/s] 100%|██████████| 32/32 [00:06<00:00, 4.99it/s] 100%|██████████| 32/32 [00:06<00:00, 5.08it/s]
Version Details
- Version ID
991d0656366cbaec46d5457fe8994b1a09cca74f3f7590370d1a3669ad891189- Version Created
- December 24, 2023