aisha-ai-official/project-il-v2 ❓🔢📝✓ → 🖼️
About

Example Output
Prompt:
"street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V"
Output

Performance Metrics
6.05s
Prediction Time
37.66s
Total Time
All Input Parameters
{ "vae": "default", "seed": -1, "model": "Project-IL-v2", "steps": 34, "width": 1024, "height": 1024, "prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V", "cfg_scale": 7, "clip_skip": 2, "pag_scale": 0, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 1, "prepend_preprompt": true }
Input Parameters
- vae
- The VAE to use
- seed
- The seed used when generating, set to -1 for random seed
- model
- The model to use
- steps
- The steps when generating
- width
- The width of the image
- height
- The height of the image
- prompt
- The prompt, uses Compel weighting syntax
- cfg_scale
- CFG scale defines how much attention the model pays to the prompt when generating, set to 1 to disable
- clip_skip
- How many CLIP layers to skip, 1 is actually no skip, this is the behavior in A1111 so it's aligned to it
- pag_scale
- PAG scale is similar to CFG but it literally makes the result better, it's compatible with CFG too, set to 0 to disable
- scheduler
- The scheduler to use
- batch_size
- Number of images to generate (1-4), note if you set this to 4, some high resolution gens might fail because of not enough VRAM
- negative_prompt
- The negative prompt (For things you don't want), uses Compel weighting syntax
- guidance_rescale
- The amount to rescale CFG generated noise to avoid generating overexposed images, set to 0 or 1 to disable
- prepend_preprompt
- Prepend preprompt (Prompt: "masterpiece,best quality,amazing quality,very aesthetic,absurdres,newest, " Negative prompt: "low quality, bad quality, watermark, text, username, artist name, watermark, bad_hands, worst, low quality, mutated_hands, mutated_fingers, extra_fingers, 6fingers, six_fingers, ")
Output Schema
Output
Example Execution Logs
Using text to image mode. Using seed: 1903314324 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:07, 4.49it/s] 9%|▉ | 3/34 [00:00<00:03, 8.38it/s] 12%|█▏ | 4/34 [00:00<00:03, 8.53it/s] 15%|█▍ | 5/34 [00:00<00:03, 8.63it/s] 18%|█▊ | 6/34 [00:00<00:03, 8.70it/s] 21%|██ | 7/34 [00:00<00:03, 8.74it/s] 24%|██▎ | 8/34 [00:00<00:02, 8.76it/s] 26%|██▋ | 9/34 [00:01<00:02, 8.78it/s] 29%|██▉ | 10/34 [00:01<00:02, 8.80it/s] 32%|███▏ | 11/34 [00:01<00:02, 8.80it/s] 35%|███▌ | 12/34 [00:01<00:02, 8.81it/s] 38%|███▊ | 13/34 [00:01<00:02, 8.80it/s] 41%|████ | 14/34 [00:01<00:02, 8.79it/s] 44%|████▍ | 15/34 [00:01<00:02, 8.80it/s] 47%|████▋ | 16/34 [00:01<00:02, 8.78it/s] 50%|█████ | 17/34 [00:01<00:01, 8.78it/s] 53%|█████▎ | 18/34 [00:02<00:01, 8.78it/s] 56%|█████▌ | 19/34 [00:02<00:01, 8.79it/s] 59%|█████▉ | 20/34 [00:02<00:01, 8.79it/s] 62%|██████▏ | 21/34 [00:02<00:01, 8.78it/s] 65%|██████▍ | 22/34 [00:02<00:01, 8.78it/s] 68%|██████▊ | 23/34 [00:02<00:01, 8.78it/s] 71%|███████ | 24/34 [00:02<00:01, 8.78it/s] 74%|███████▎ | 25/34 [00:02<00:01, 8.78it/s] 76%|███████▋ | 26/34 [00:03<00:00, 8.78it/s] 79%|███████▉ | 27/34 [00:03<00:00, 8.78it/s] 82%|████████▏ | 28/34 [00:03<00:00, 8.77it/s] 85%|████████▌ | 29/34 [00:03<00:00, 8.77it/s] 88%|████████▊ | 30/34 [00:03<00:00, 8.77it/s] 91%|█████████ | 31/34 [00:03<00:00, 8.77it/s] 94%|█████████▍| 32/34 [00:03<00:00, 8.76it/s] 97%|█████████▋| 33/34 [00:03<00:00, 8.76it/s] 100%|██████████| 34/34 [00:03<00:00, 8.75it/s] 100%|██████████| 34/34 [00:03<00:00, 8.68it/s]
Version Details
- Version ID
93c6b4467c152de3e5b70c09ae03d28528176c83d303768bfc039f8ee3262022
- Version Created
- March 5, 2025