alekseycalvin/soonrtarot 🔢🖼️❓📝✓ → 🖼️
About
Neurealist Tarot (v_2) Replicate Version: a Tarot card generating model trained by A.C.T. SOON® over SD v1-5, from custom data and class sets, and via Dreambooth/Cog
Example Output
Prompt:
"a print of a centered emperor trt tarot card, symmetrical, award-winning, trending on artstation, by leonora carrington, fine penwork, 3d, top and bottom borders, raw color, clarity enhancement, detailed, complex arcane imagery, tarot borders, alchemical, surrealistic melancholy masterpiece artwork, life-like anatomy,"
Output
Performance Metrics
56.91s
Prediction Time
57.01s
Total Time
All Input Parameters
{
"seed": 65284,
"width": 640,
"height": "832",
"prompt": "a print of a centered emperor trt tarot card, symmetrical, award-winning, trending on artstation, by leonora carrington, fine penwork, 3d, top and bottom borders, raw color, clarity enhancement, detailed, complex arcane imagery, tarot borders, alchemical, surrealistic melancholy masterpiece artwork, life-like anatomy,",
"scheduler": "K_EULER_ANCESTRAL",
"num_outputs": 1,
"guidance_scale": 15,
"negative_prompt": "cut off borders, no top or bottom, ugly, severed ends, borderless, uncentered, cropped, clipping, lopsided, unbalanced, stretched, shrunken, oversaturated, extra limbs, unrealistic, cloned, faceless, artifacts, boring, wrong, lowres",
"prompt_strength": 0.8,
"num_inference_steps": 100,
"disable_safety_check": true
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- image
- A starting image from which to generate variations (aka 'img2img'). If this input is set, the `width` and `height` inputs are ignored and the output will have the same dimensions as the input image.
- width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- prompt
- Input prompt
- scheduler
- Choose a scheduler
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Specify things to not see in the output
- prompt_strength
- Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
- num_inference_steps
- Number of denoising steps
- disable_safety_check
- Disable safety check. Use at your own risk!
Output Schema
Output
Example Execution Logs
Using seed: 65284 using txt2img 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:00<00:57, 1.72it/s] 2%|▏ | 2/100 [00:01<00:53, 1.85it/s] 3%|▎ | 3/100 [00:01<00:52, 1.86it/s] 4%|▍ | 4/100 [00:02<00:50, 1.89it/s] 5%|▌ | 5/100 [00:02<00:50, 1.89it/s] 6%|▌ | 6/100 [00:03<00:49, 1.89it/s] 7%|▋ | 7/100 [00:03<00:49, 1.89it/s] 8%|▊ | 8/100 [00:04<00:48, 1.89it/s] 9%|▉ | 9/100 [00:04<00:48, 1.89it/s] 10%|█ | 10/100 [00:05<00:47, 1.89it/s] 11%|█ | 11/100 [00:05<00:47, 1.89it/s] 12%|█▏ | 12/100 [00:06<00:46, 1.89it/s] 13%|█▎ | 13/100 [00:06<00:45, 1.89it/s] 14%|█▍ | 14/100 [00:07<00:45, 1.88it/s] 15%|█▌ | 15/100 [00:07<00:45, 1.89it/s] 16%|█▌ | 16/100 [00:08<00:44, 1.87it/s] 17%|█▋ | 17/100 [00:09<00:44, 1.88it/s] 18%|█▊ | 18/100 [00:09<00:43, 1.87it/s] 19%|█▉ | 19/100 [00:10<00:43, 1.87it/s] 20%|██ | 20/100 [00:10<00:42, 1.86it/s] 21%|██ | 21/100 [00:11<00:42, 1.86it/s] 22%|██▏ | 22/100 [00:11<00:41, 1.86it/s] 23%|██▎ | 23/100 [00:12<00:41, 1.86it/s] 24%|██▍ | 24/100 [00:12<00:41, 1.85it/s] 25%|██▌ | 25/100 [00:13<00:40, 1.85it/s] 26%|██▌ | 26/100 [00:13<00:40, 1.85it/s] 27%|██▋ | 27/100 [00:14<00:39, 1.85it/s] 28%|██▊ | 28/100 [00:14<00:39, 1.84it/s] 29%|██▉ | 29/100 [00:15<00:38, 1.84it/s] 30%|███ | 30/100 [00:16<00:38, 1.83it/s] 31%|███ | 31/100 [00:16<00:37, 1.84it/s] 32%|███▏ | 32/100 [00:17<00:36, 1.85it/s] 33%|███▎ | 33/100 [00:17<00:36, 1.85it/s] 34%|███▍ | 34/100 [00:18<00:35, 1.85it/s] 35%|███▌ | 35/100 [00:18<00:35, 1.85it/s] 36%|███▌ | 36/100 [00:19<00:34, 1.85it/s] 37%|███▋ | 37/100 [00:19<00:34, 1.85it/s] 38%|███▊ | 38/100 [00:20<00:33, 1.85it/s] 39%|███▉ | 39/100 [00:20<00:33, 1.85it/s] 40%|████ | 40/100 [00:21<00:32, 1.85it/s] 41%|████ | 41/100 [00:22<00:31, 1.85it/s] 42%|████▏ | 42/100 [00:22<00:31, 1.84it/s] 43%|████▎ | 43/100 [00:23<00:30, 1.84it/s] 44%|████▍ | 44/100 [00:23<00:30, 1.83it/s] 45%|████▌ | 45/100 [00:24<00:30, 1.83it/s] 46%|████▌ | 46/100 [00:24<00:29, 1.83it/s] 47%|████▋ | 47/100 [00:25<00:28, 1.83it/s] 48%|████▊ | 48/100 [00:25<00:28, 1.82it/s] 49%|████▉ | 49/100 [00:26<00:28, 1.82it/s] 50%|█████ | 50/100 [00:26<00:27, 1.82it/s] 51%|█████ | 51/100 [00:27<00:26, 1.81it/s] 52%|█████▏ | 52/100 [00:28<00:26, 1.81it/s] 53%|█████▎ | 53/100 [00:28<00:25, 1.81it/s] 54%|█████▍ | 54/100 [00:29<00:25, 1.80it/s] 55%|█████▌ | 55/100 [00:29<00:24, 1.81it/s] 56%|█████▌ | 56/100 [00:30<00:24, 1.80it/s] 57%|█████▋ | 57/100 [00:30<00:23, 1.80it/s] 58%|█████▊ | 58/100 [00:31<00:23, 1.80it/s] 59%|█████▉ | 59/100 [00:31<00:22, 1.80it/s] 60%|██████ | 60/100 [00:32<00:22, 1.79it/s] 61%|██████ | 61/100 [00:33<00:21, 1.78it/s] 62%|██████▏ | 62/100 [00:33<00:21, 1.79it/s] 63%|██████▎ | 63/100 [00:34<00:20, 1.79it/s] 64%|██████▍ | 64/100 [00:34<00:20, 1.79it/s] 65%|██████▌ | 65/100 [00:35<00:19, 1.79it/s] 66%|██████▌ | 66/100 [00:35<00:19, 1.78it/s] 67%|██████▋ | 67/100 [00:36<00:18, 1.78it/s] 68%|██████▊ | 68/100 [00:37<00:18, 1.77it/s] 69%|██████▉ | 69/100 [00:37<00:17, 1.77it/s] 70%|███████ | 70/100 [00:38<00:16, 1.77it/s] 71%|███████ | 71/100 [00:38<00:16, 1.76it/s] 72%|███████▏ | 72/100 [00:39<00:15, 1.76it/s] 73%|███████▎ | 73/100 [00:39<00:15, 1.76it/s] 74%|███████▍ | 74/100 [00:40<00:14, 1.75it/s] 75%|███████▌ | 75/100 [00:41<00:14, 1.76it/s] 76%|███████▌ | 76/100 [00:41<00:13, 1.76it/s] 77%|███████▋ | 77/100 [00:42<00:13, 1.76it/s] 78%|███████▊ | 78/100 [00:42<00:12, 1.74it/s] 79%|███████▉ | 79/100 [00:43<00:12, 1.74it/s] 80%|████████ | 80/100 [00:43<00:11, 1.74it/s] 81%|████████ | 81/100 [00:44<00:10, 1.74it/s] 82%|████████▏ | 82/100 [00:45<00:10, 1.73it/s] 83%|████████▎ | 83/100 [00:45<00:09, 1.73it/s] 84%|████████▍ | 84/100 [00:46<00:09, 1.73it/s] 85%|████████▌ | 85/100 [00:46<00:08, 1.73it/s] 86%|████████▌ | 86/100 [00:47<00:08, 1.73it/s] 87%|████████▋ | 87/100 [00:47<00:07, 1.73it/s] 88%|████████▊ | 88/100 [00:48<00:06, 1.72it/s] 89%|████████▉ | 89/100 [00:49<00:06, 1.72it/s] 90%|█████████ | 90/100 [00:49<00:05, 1.72it/s] 91%|█████████ | 91/100 [00:50<00:05, 1.71it/s] 92%|█████████▏| 92/100 [00:50<00:04, 1.71it/s] 93%|█████████▎| 93/100 [00:51<00:04, 1.72it/s] 94%|█████████▍| 94/100 [00:52<00:03, 1.72it/s] 95%|█████████▌| 95/100 [00:52<00:02, 1.71it/s] 96%|█████████▌| 96/100 [00:53<00:02, 1.71it/s] 97%|█████████▋| 97/100 [00:53<00:01, 1.71it/s] 98%|█████████▊| 98/100 [00:54<00:01, 1.71it/s] 99%|█████████▉| 99/100 [00:54<00:00, 1.71it/s] 100%|██████████| 100/100 [00:55<00:00, 1.72it/s] 100%|██████████| 100/100 [00:55<00:00, 1.80it/s]
Version Details
- Version ID
e464a28663ff510bc940aa29b87e264b77db9ac256e6e237a9bfea97cefc8f6c- Version Created
- March 31, 2023