aisha-ai-official/annolust-xl ❓🔢📝✓ → 🖼️
About
Example Output
Prompt:
"street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V"
Output
Performance Metrics
4.89s
Prediction Time
40.67s
Total Time
All Input Parameters
{
"vae": "default",
"seed": -1,
"model": "AnnoLustXL",
"steps": 30,
"width": 1024,
"height": 1024,
"prompt": "street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V",
"cfg_scale": 5,
"clip_skip": 1,
"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: " 8k, photorealistic, intricate details, high resolution, " Negative prompt: "low resolution, lowres, bad anatomy, bad hands, missing fingers, worst quality, low quality, normal quality, cartoon, anime, drawing, sketch, illustration, artificial, poor quality, bad_fingers, extra_fingers, mutated_fingers, ")
Output Schema
Output
Example Execution Logs
Using text to image mode. Using seed: 1605233854 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:05, 4.88it/s] 10%|█ | 3/30 [00:00<00:03, 8.73it/s] 13%|█▎ | 4/30 [00:00<00:02, 8.81it/s] 17%|█▋ | 5/30 [00:00<00:02, 8.87it/s] 20%|██ | 6/30 [00:00<00:02, 8.91it/s] 23%|██▎ | 7/30 [00:00<00:02, 8.93it/s] 27%|██▋ | 8/30 [00:00<00:02, 8.94it/s] 30%|███ | 9/30 [00:01<00:02, 8.95it/s] 33%|███▎ | 10/30 [00:01<00:02, 8.95it/s] 37%|███▋ | 11/30 [00:01<00:02, 8.96it/s] 40%|████ | 12/30 [00:01<00:02, 8.97it/s] 43%|████▎ | 13/30 [00:01<00:01, 8.96it/s] 47%|████▋ | 14/30 [00:01<00:01, 8.96it/s] 50%|█████ | 15/30 [00:01<00:01, 8.97it/s] 53%|█████▎ | 16/30 [00:01<00:01, 8.97it/s] 57%|█████▋ | 17/30 [00:01<00:01, 8.96it/s] 60%|██████ | 18/30 [00:02<00:01, 8.96it/s] 63%|██████▎ | 19/30 [00:02<00:01, 8.96it/s] 67%|██████▋ | 20/30 [00:02<00:01, 8.97it/s] 70%|███████ | 21/30 [00:02<00:01, 8.97it/s] 73%|███████▎ | 22/30 [00:02<00:00, 8.96it/s] 77%|███████▋ | 23/30 [00:02<00:00, 8.96it/s] 80%|████████ | 24/30 [00:02<00:00, 8.95it/s] 83%|████████▎ | 25/30 [00:02<00:00, 8.94it/s] 87%|████████▋ | 26/30 [00:02<00:00, 8.93it/s] 90%|█████████ | 27/30 [00:03<00:00, 8.93it/s] 93%|█████████▎| 28/30 [00:03<00:00, 8.93it/s] 97%|█████████▋| 29/30 [00:03<00:00, 8.92it/s] 100%|██████████| 30/30 [00:03<00:00, 8.92it/s] 100%|██████████| 30/30 [00:03<00:00, 8.86it/s]
Version Details
- Version ID
b2b06f1ffac47607ff8913cb73e170d0f7260a6abf8137350e6f0eddc9ec8a3d- Version Created
- February 27, 2025