replicategithubwc/neurogen 🔢📝❓ → 🖼️
About
Neurogen Model for Splurge Art
Example Output
Prompt:
"a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski"
Output



Performance Metrics
60.11s
Prediction Time
162.47s
Total Time
All Input Parameters
{
"width": 768,
"height": 768,
"prompt": "a tiny mushroom person with a mushroom for a head walking by a stream in a lush forest. cgsociety masterpiece, artstation trending, by rossdraws, ghibli, Kimi no Na wa, greg rutkowski",
"scheduler": "DPMSolverMultistep",
"num_outputs": 4,
"guidance_scale": 7.5,
"negative_prompt": "easynegative, extra fingers, fewer fingers, (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit,fewer digits,(extra arms:1.2)",
"num_inference_steps": 50
}
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
- 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
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 35884 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:18, 1.59s/it] 4%|▍ | 2/50 [00:02<01:02, 1.30s/it] 6%|▌ | 3/50 [00:03<00:56, 1.20s/it] 8%|▊ | 4/50 [00:04<00:53, 1.16s/it] 10%|█ | 5/50 [00:05<00:51, 1.14s/it] 12%|█▏ | 6/50 [00:07<00:49, 1.12s/it] 14%|█▍ | 7/50 [00:08<00:47, 1.11s/it] 16%|█▌ | 8/50 [00:09<00:46, 1.11s/it] 18%|█▊ | 9/50 [00:10<00:45, 1.10s/it] 20%|██ | 10/50 [00:11<00:43, 1.10s/it] 22%|██▏ | 11/50 [00:12<00:42, 1.10s/it] 24%|██▍ | 12/50 [00:13<00:41, 1.10s/it] 26%|██▌ | 13/50 [00:14<00:40, 1.10s/it] 28%|██▊ | 14/50 [00:15<00:39, 1.10s/it] 30%|███ | 15/50 [00:16<00:38, 1.09s/it] 32%|███▏ | 16/50 [00:17<00:37, 1.09s/it] 34%|███▍ | 17/50 [00:19<00:36, 1.09s/it] 36%|███▌ | 18/50 [00:20<00:35, 1.09s/it] 38%|███▊ | 19/50 [00:21<00:33, 1.09s/it] 40%|████ | 20/50 [00:22<00:32, 1.10s/it] 42%|████▏ | 21/50 [00:23<00:31, 1.10s/it] 44%|████▍ | 22/50 [00:24<00:30, 1.10s/it] 46%|████▌ | 23/50 [00:25<00:29, 1.10s/it] 48%|████▊ | 24/50 [00:26<00:28, 1.10s/it] 50%|█████ | 25/50 [00:27<00:27, 1.10s/it] 52%|█████▏ | 26/50 [00:28<00:26, 1.10s/it] 54%|█████▍ | 27/50 [00:30<00:25, 1.10s/it] 56%|█████▌ | 28/50 [00:31<00:24, 1.10s/it] 58%|█████▊ | 29/50 [00:32<00:23, 1.10s/it] 60%|██████ | 30/50 [00:33<00:21, 1.10s/it] 62%|██████▏ | 31/50 [00:34<00:20, 1.10s/it] 64%|██████▍ | 32/50 [00:35<00:19, 1.10s/it] 66%|██████▌ | 33/50 [00:36<00:18, 1.10s/it] 68%|██████▊ | 34/50 [00:37<00:17, 1.10s/it] 70%|███████ | 35/50 [00:38<00:16, 1.10s/it] 72%|███████▏ | 36/50 [00:39<00:15, 1.10s/it] 74%|███████▍ | 37/50 [00:41<00:14, 1.10s/it] 76%|███████▌ | 38/50 [00:42<00:13, 1.10s/it] 78%|███████▊ | 39/50 [00:43<00:12, 1.10s/it] 80%|████████ | 40/50 [00:44<00:10, 1.10s/it] 82%|████████▏ | 41/50 [00:45<00:09, 1.10s/it] 84%|████████▍ | 42/50 [00:46<00:08, 1.10s/it] 86%|████████▌ | 43/50 [00:47<00:07, 1.10s/it] 88%|████████▊ | 44/50 [00:48<00:06, 1.10s/it] 90%|█████████ | 45/50 [00:49<00:05, 1.10s/it] 92%|█████████▏| 46/50 [00:50<00:04, 1.10s/it] 94%|█████████▍| 47/50 [00:51<00:03, 1.10s/it] 96%|█████████▌| 48/50 [00:53<00:02, 1.10s/it] 98%|█████████▊| 49/50 [00:54<00:01, 1.10s/it] 100%|██████████| 50/50 [00:55<00:00, 1.10s/it] 100%|██████████| 50/50 [00:55<00:00, 1.11s/it]
Version Details
- Version ID
44791c56fd904789f49421cb3398953e7df3b14797d2f24f9a68994591f47a38- Version Created
- October 17, 2023