ai-forever/kandinsky-2-1 🔢❓🖼️📝 → 🖼️
About
Kandinsky 2.1 Diffusion Model

Example Output
Prompt:
"A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting"
Output

Performance Metrics
7.83s
Prediction Time
7.79s
Total Time
All Input Parameters
{ "task": "text2img", "width": 768, "height": 768, "prompt": "A alien cheeseburger creature eating itself, claymation, cinematic, moody lighting", "strength": 0.3, "num_outputs": 1, "guidance_scale": 1, "negative_prompt": "low quality, bad quality", "num_steps_prior": 25, "num_inference_steps": 100 }
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- task
- Choose a task
- image
- Input image for text_guided_img2img task
- width
- Width of output image. Reduce the seeting if hits memory limits
- height
- Height of output image. Reduce the seeting if hits memory limits
- prompt
- Provide input prompt
- strength
- indicates how much to transform the input iamge, valid for text_guided_img2img task.
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Specify things to not see in the output for text2img and text_guided_img2img tasks
- num_steps_prior
- Number of denoising steps in prior
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 9578 0%| | 0/25 [00:00<?, ?it/s] 20%|██ | 5/25 [00:00<00:00, 45.87it/s] 40%|████ | 10/25 [00:00<00:00, 46.46it/s] 60%|██████ | 15/25 [00:00<00:00, 44.90it/s] 80%|████████ | 20/25 [00:00<00:00, 46.28it/s] 100%|██████████| 25/25 [00:00<00:00, 47.07it/s] 100%|██████████| 25/25 [00:00<00:00, 46.49it/s] 0%| | 0/100 [00:00<?, ?it/s] 2%|▏ | 2/100 [00:00<00:06, 15.23it/s] 4%|▍ | 4/100 [00:00<00:06, 15.72it/s] 6%|▌ | 6/100 [00:00<00:05, 16.19it/s] 8%|▊ | 8/100 [00:00<00:05, 16.23it/s] 10%|█ | 10/100 [00:00<00:05, 16.41it/s] 12%|█▏ | 12/100 [00:00<00:05, 16.39it/s] 14%|█▍ | 14/100 [00:00<00:05, 16.24it/s] 16%|█▌ | 16/100 [00:00<00:05, 16.33it/s] 18%|█▊ | 18/100 [00:01<00:05, 16.17it/s] 20%|██ | 20/100 [00:01<00:04, 16.32it/s] 22%|██▏ | 22/100 [00:01<00:04, 16.41it/s] 24%|██▍ | 24/100 [00:01<00:04, 16.50it/s] 26%|██▌ | 26/100 [00:01<00:04, 16.57it/s] 28%|██▊ | 28/100 [00:01<00:04, 16.57it/s] 30%|███ | 30/100 [00:01<00:04, 16.53it/s] 32%|███▏ | 32/100 [00:01<00:04, 16.60it/s] 34%|███▍ | 34/100 [00:02<00:04, 16.42it/s] 36%|███▌ | 36/100 [00:02<00:03, 16.50it/s] 38%|███▊ | 38/100 [00:02<00:03, 16.48it/s] 40%|████ | 40/100 [00:02<00:03, 16.51it/s] 42%|████▏ | 42/100 [00:02<00:03, 16.55it/s] 44%|████▍ | 44/100 [00:02<00:03, 16.48it/s] 46%|████▌ | 46/100 [00:02<00:03, 16.49it/s] 48%|████▊ | 48/100 [00:02<00:03, 16.54it/s] 50%|█████ | 50/100 [00:03<00:03, 16.43it/s] 52%|█████▏ | 52/100 [00:03<00:02, 16.45it/s] 54%|█████▍ | 54/100 [00:03<00:02, 16.34it/s] 56%|█████▌ | 56/100 [00:03<00:02, 16.40it/s] 58%|█████▊ | 58/100 [00:03<00:02, 16.42it/s] 60%|██████ | 60/100 [00:03<00:02, 16.48it/s] 62%|██████▏ | 62/100 [00:03<00:02, 16.49it/s] 64%|██████▍ | 64/100 [00:03<00:02, 16.51it/s] 66%|██████▌ | 66/100 [00:04<00:02, 16.48it/s] 68%|██████▊ | 68/100 [00:04<00:01, 16.40it/s] 70%|███████ | 70/100 [00:04<00:01, 16.45it/s] 72%|███████▏ | 72/100 [00:04<00:01, 16.55it/s] 74%|███████▍ | 74/100 [00:04<00:01, 16.63it/s] 76%|███████▌ | 76/100 [00:04<00:01, 16.70it/s] 78%|███████▊ | 78/100 [00:04<00:01, 16.60it/s] 80%|████████ | 80/100 [00:04<00:01, 16.59it/s] 82%|████████▏ | 82/100 [00:04<00:01, 16.69it/s] 84%|████████▍ | 84/100 [00:05<00:00, 16.68it/s] 86%|████████▌ | 86/100 [00:05<00:00, 16.74it/s] 88%|████████▊ | 88/100 [00:05<00:00, 16.77it/s] 90%|█████████ | 90/100 [00:05<00:00, 16.46it/s] 92%|█████████▏| 92/100 [00:05<00:00, 16.58it/s] 94%|█████████▍| 94/100 [00:05<00:00, 16.55it/s] 96%|█████████▌| 96/100 [00:05<00:00, 16.65it/s] 98%|█████████▊| 98/100 [00:05<00:00, 16.67it/s] 100%|██████████| 100/100 [00:06<00:00, 16.63it/s] 100%|██████████| 100/100 [00:06<00:00, 16.49it/s]
Version Details
- Version ID
a768f3c2e174c54b576cc4f222e789e161160403d0cd0ace41eeb9a0f8c8d5f8
- Version Created
- June 9, 2023