alekseycalvin/neurealenin ๐ผ๏ธ๐ข๐โโ โ ๐ผ๏ธ
About
NeureaLenin by soonยฎ: a V. I. Lenin SDXL fine-tuning; use "LEN" token in prompts!

Example Output
Prompt:
"UHD award-winning photo of LEN person in a cyberpunk post-Soviet wasteland"
Output

Performance Metrics
16.78s
Prediction Time
16.76s
Total Time
All Input Parameters
{ "width": 1024, "height": 1120, "prompt": "UHD award-winning photo of LEN person in a cyberpunk post-Soviet wasteland", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.7, "num_outputs": 1, "refine_steps": 15, "guidance_scale": 12.3, "apply_watermark": false, "high_noise_frac": 0.8, "negative_prompt": "bad quality, cgi, cartoon, video game, unrealistic, digital, 3d graphics, drawing, illustration, synthetic, computer graphics, low quality, unnatural anatomy, bad proportions, aliasing, glossy simplistic textures, malformed limbs, ", "prompt_strength": 0.8, "num_inference_steps": 50 }
Input Parameters
- mask
- Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
- seed
- Random seed. Leave blank to randomize the seed
- image
- Input image for img2img or inpaint mode
- width
- Width of output image
- height
- Height of output image
- prompt
- Input prompt
- refine
- Which refine style to use
- scheduler
- scheduler
- lora_scale
- LoRA additive scale. Only applicable on trained models.
- num_outputs
- Number of images to output.
- refine_steps
- For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
- 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.
- high_noise_frac
- For expert_ensemble_refiner, the fraction of noise to use
- negative_prompt
- Input Negative Prompt
- prompt_strength
- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 49167 Prompt: UHD award-winning photo of <s0><s1> person in a cyberpunk post-Soviet wasteland txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|โ | 1/50 [00:00<00:15, 3.26it/s] 4%|โ | 2/50 [00:00<00:14, 3.25it/s] 6%|โ | 3/50 [00:00<00:14, 3.25it/s] 8%|โ | 4/50 [00:01<00:14, 3.25it/s] 10%|โ | 5/50 [00:01<00:13, 3.25it/s] 12%|โโ | 6/50 [00:01<00:13, 3.25it/s] 14%|โโ | 7/50 [00:02<00:13, 3.25it/s] 16%|โโ | 8/50 [00:02<00:12, 3.25it/s] 18%|โโ | 9/50 [00:02<00:12, 3.25it/s] 20%|โโ | 10/50 [00:03<00:12, 3.25it/s] 22%|โโโ | 11/50 [00:03<00:11, 3.25it/s] 24%|โโโ | 12/50 [00:03<00:11, 3.25it/s] 26%|โโโ | 13/50 [00:03<00:11, 3.25it/s] 28%|โโโ | 14/50 [00:04<00:11, 3.25it/s] 30%|โโโ | 15/50 [00:04<00:10, 3.25it/s] 32%|โโโโ | 16/50 [00:04<00:10, 3.25it/s] 34%|โโโโ | 17/50 [00:05<00:10, 3.25it/s] 36%|โโโโ | 18/50 [00:05<00:09, 3.24it/s] 38%|โโโโ | 19/50 [00:05<00:09, 3.24it/s] 40%|โโโโ | 20/50 [00:06<00:09, 3.24it/s] 42%|โโโโโ | 21/50 [00:06<00:08, 3.24it/s] 44%|โโโโโ | 22/50 [00:06<00:08, 3.24it/s] 46%|โโโโโ | 23/50 [00:07<00:08, 3.24it/s] 48%|โโโโโ | 24/50 [00:07<00:08, 3.24it/s] 50%|โโโโโ | 25/50 [00:07<00:07, 3.24it/s] 52%|โโโโโโ | 26/50 [00:08<00:07, 3.24it/s] 54%|โโโโโโ | 27/50 [00:08<00:07, 3.24it/s] 56%|โโโโโโ | 28/50 [00:08<00:06, 3.24it/s] 58%|โโโโโโ | 29/50 [00:08<00:06, 3.24it/s] 60%|โโโโโโ | 30/50 [00:09<00:06, 3.24it/s] 62%|โโโโโโโ | 31/50 [00:09<00:05, 3.24it/s] 64%|โโโโโโโ | 32/50 [00:09<00:05, 3.24it/s] 66%|โโโโโโโ | 33/50 [00:10<00:05, 3.23it/s] 68%|โโโโโโโ | 34/50 [00:10<00:04, 3.23it/s] 70%|โโโโโโโ | 35/50 [00:10<00:04, 3.23it/s] 72%|โโโโโโโโ | 36/50 [00:11<00:04, 3.24it/s] 74%|โโโโโโโโ | 37/50 [00:11<00:04, 3.23it/s] 76%|โโโโโโโโ | 38/50 [00:11<00:03, 3.23it/s] 78%|โโโโโโโโ | 39/50 [00:12<00:03, 3.23it/s] 80%|โโโโโโโโ | 40/50 [00:12<00:03, 3.23it/s] 82%|โโโโโโโโโ | 41/50 [00:12<00:02, 3.23it/s] 84%|โโโโโโโโโ | 42/50 [00:12<00:02, 3.23it/s] 86%|โโโโโโโโโ | 43/50 [00:13<00:02, 3.23it/s] 88%|โโโโโโโโโ | 44/50 [00:13<00:01, 3.23it/s] 90%|โโโโโโโโโ | 45/50 [00:13<00:01, 3.23it/s] 92%|โโโโโโโโโโ| 46/50 [00:14<00:01, 3.23it/s] 94%|โโโโโโโโโโ| 47/50 [00:14<00:00, 3.23it/s] 96%|โโโโโโโโโโ| 48/50 [00:14<00:00, 3.23it/s] 98%|โโโโโโโโโโ| 49/50 [00:15<00:00, 3.23it/s] 100%|โโโโโโโโโโ| 50/50 [00:15<00:00, 3.23it/s] 100%|โโโโโโโโโโ| 50/50 [00:15<00:00, 3.24it/s]
Version Details
- Version ID
6622c3d28045d831a8539a98cdbce4e73c9bf0b80662bf3e0557f239d28647cb
- Version Created
- August 12, 2023