aisha-ai-official/anillustrious-v2 ❓🔢📝✓ → 🖼️
About
A good anime merge from 12 other models

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

Performance Metrics
6.50s
Prediction Time
167.97s
Total Time
All Input Parameters
{ "vae": "default", "seed": -1, "model": "Anillustrious-v2", "steps": 30, "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": 3, "scheduler": "Euler a", "batch_size": 1, "negative_prompt": "nsfw, naked", "guidance_rescale": 0.5, "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: "8k resolution, high definition, extremely detailed, masterpiece, best quality, " Negative prompt: "low resolution, lowres, bad anatomy, bad hands, missing fingers, worst quality, low quality, normal quality, poor quality, ")
Output Schema
Output
Example Execution Logs
Using text to image mode. Using seed: 1377029757 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:07, 4.13it/s] 10%|█ | 3/30 [00:00<00:03, 7.02it/s] 13%|█▎ | 4/30 [00:00<00:03, 6.94it/s] 17%|█▋ | 5/30 [00:00<00:03, 6.90it/s] 20%|██ | 6/30 [00:00<00:03, 6.88it/s] 23%|██▎ | 7/30 [00:01<00:03, 6.86it/s] 27%|██▋ | 8/30 [00:01<00:03, 6.84it/s] 30%|███ | 9/30 [00:01<00:03, 6.82it/s] 33%|███▎ | 10/30 [00:01<00:02, 6.82it/s] 37%|███▋ | 11/30 [00:01<00:02, 6.82it/s] 40%|████ | 12/30 [00:01<00:02, 6.82it/s] 43%|████▎ | 13/30 [00:01<00:02, 6.82it/s] 47%|████▋ | 14/30 [00:02<00:02, 6.81it/s] 50%|█████ | 15/30 [00:02<00:02, 6.80it/s] 53%|█████▎ | 16/30 [00:02<00:02, 6.81it/s] 57%|█████▋ | 17/30 [00:02<00:01, 6.80it/s] 60%|██████ | 18/30 [00:02<00:01, 6.80it/s] 63%|██████▎ | 19/30 [00:02<00:01, 6.80it/s] 67%|██████▋ | 20/30 [00:02<00:01, 6.79it/s] 70%|███████ | 21/30 [00:03<00:01, 6.78it/s] 73%|███████▎ | 22/30 [00:03<00:01, 6.77it/s] 77%|███████▋ | 23/30 [00:03<00:01, 6.77it/s] 80%|████████ | 24/30 [00:03<00:00, 6.77it/s] 83%|████████▎ | 25/30 [00:03<00:00, 6.76it/s] 87%|████████▋ | 26/30 [00:03<00:00, 6.76it/s] 90%|█████████ | 27/30 [00:03<00:00, 6.76it/s] 93%|█████████▎| 28/30 [00:04<00:00, 6.76it/s] 97%|█████████▋| 29/30 [00:04<00:00, 6.76it/s] 100%|██████████| 30/30 [00:04<00:00, 6.76it/s] 100%|██████████| 30/30 [00:04<00:00, 6.76it/s]
Version Details
- Version ID
9071f3d8eea9c5d3d68c9025ad3e2284928ba16252d991c3e384b1fa0ed1fecb
- Version Created
- February 19, 2025