cmenguy/toshiro-ai-1_5 🔢🖼️❓📝✓ → 🖼️
About
A stable diffusion model trained on pictures from my buddy Toshiro (truly the best boy there is)
Example Output
Prompt:
"Adorably cute qdg dog portrait, artstation winner by Victo Ngai, Kilian Eng and by Jake Parker, vibrant colors, winning-award masterpiece, fantastically gaudy, aesthetic octane render, 8K HD Resolution"
Output
Performance Metrics
15.30s
Prediction Time
210.08s
Total Time
All Input Parameters
{
"width": 512,
"height": 512,
"prompt": "Adorably cute qdg dog portrait, artstation winner by Victo Ngai, Kilian Eng and by Jake Parker, vibrant colors, winning-award masterpiece, fantastically gaudy, aesthetic octane render, 8K HD Resolution",
"scheduler": "DDIM",
"num_outputs": 1,
"guidance_scale": 7.5,
"negative_prompt": "cartoon, blurry, deformed, watermark, dark lighting, image caption, caption, text, cropped, low quality, low resolution, malformed, messy, blurry, watermark",
"prompt_strength": 0.8,
"num_inference_steps": 50
}
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: 62756 using txt2img 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:03<02:40, 3.28s/it] 4%|▍ | 2/50 [00:03<01:09, 1.45s/it] 6%|▌ | 3/50 [00:03<00:40, 1.15it/s] 8%|▊ | 4/50 [00:03<00:27, 1.67it/s] 10%|█ | 5/50 [00:03<00:20, 2.24it/s] 12%|█▏ | 6/50 [00:04<00:15, 2.81it/s] 14%|█▍ | 7/50 [00:04<00:12, 3.34it/s] 16%|█▌ | 8/50 [00:04<00:10, 3.84it/s] 18%|█▊ | 9/50 [00:04<00:09, 4.26it/s] 20%|██ | 10/50 [00:04<00:08, 4.59it/s] 22%|██▏ | 11/50 [00:05<00:08, 4.87it/s] 24%|██▍ | 12/50 [00:05<00:07, 5.08it/s] 26%|██▌ | 13/50 [00:05<00:07, 5.22it/s] 28%|██▊ | 14/50 [00:05<00:06, 5.35it/s] 30%|███ | 15/50 [00:05<00:06, 5.41it/s] 32%|███▏ | 16/50 [00:05<00:06, 5.46it/s] 34%|███▍ | 17/50 [00:06<00:05, 5.50it/s] 36%|███▌ | 18/50 [00:06<00:05, 5.53it/s] 38%|███▊ | 19/50 [00:06<00:05, 5.57it/s] 40%|████ | 20/50 [00:06<00:05, 5.59it/s] 42%|████▏ | 21/50 [00:06<00:05, 5.58it/s] 44%|████▍ | 22/50 [00:07<00:05, 5.57it/s] 46%|████▌ | 23/50 [00:07<00:04, 5.55it/s] 48%|████▊ | 24/50 [00:07<00:04, 5.54it/s] 50%|█████ | 25/50 [00:07<00:04, 5.55it/s] 52%|█████▏ | 26/50 [00:07<00:04, 5.59it/s] 54%|█████▍ | 27/50 [00:07<00:04, 5.59it/s] 56%|█████▌ | 28/50 [00:08<00:03, 5.58it/s] 58%|█████▊ | 29/50 [00:08<00:03, 5.56it/s] 60%|██████ | 30/50 [00:08<00:03, 5.54it/s] 62%|██████▏ | 31/50 [00:08<00:03, 5.53it/s] 64%|██████▍ | 32/50 [00:08<00:03, 5.53it/s] 66%|██████▌ | 33/50 [00:09<00:03, 5.54it/s] 68%|██████▊ | 34/50 [00:09<00:02, 5.54it/s] 70%|███████ | 35/50 [00:09<00:02, 5.53it/s] 72%|███████▏ | 36/50 [00:09<00:02, 5.53it/s] 74%|███████▍ | 37/50 [00:09<00:02, 5.56it/s] 76%|███████▌ | 38/50 [00:09<00:02, 5.59it/s] 78%|███████▊ | 39/50 [00:10<00:01, 5.57it/s] 80%|████████ | 40/50 [00:10<00:01, 5.58it/s] 82%|████████▏ | 41/50 [00:10<00:01, 5.57it/s] 84%|████████▍ | 42/50 [00:10<00:01, 5.55it/s] 86%|████████▌ | 43/50 [00:10<00:01, 5.54it/s] 88%|████████▊ | 44/50 [00:10<00:01, 5.55it/s] 90%|█████████ | 45/50 [00:11<00:00, 5.57it/s] 92%|█████████▏| 46/50 [00:11<00:00, 5.59it/s] 94%|█████████▍| 47/50 [00:11<00:00, 5.60it/s] 96%|█████████▌| 48/50 [00:11<00:00, 5.57it/s] 98%|█████████▊| 49/50 [00:11<00:00, 5.56it/s] 100%|██████████| 50/50 [00:12<00:00, 5.57it/s] 100%|██████████| 50/50 [00:12<00:00, 4.14it/s]
Version Details
- Version ID
e340e1f267472e33be6075e4926403494eb749fdd0da283fc70f659f4f61b2c8- Version Created
- April 18, 2023