aisha-ai-official/boobai-v2.0-alpha ❓🔢📝✓ → 🖼️
About

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

Performance Metrics
7.68s
Prediction Time
7.69s
Total Time
All Input Parameters
{ "vae": "default", "seed": -1, "model": "BoobAI-v2.0-Alpha", "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": 0, "scheduler": "Euler a", "batch_size": 1, "face_yolov9c": true, "hand_yolov9c": false, "negative_prompt": "nsfw, naked", "guidance_rescale": 1, "prepend_preprompt": true, "person_yolov8m_seg": false }
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
- face_yolov9c
- Use ADetailer face_yolov9c.pt
- hand_yolov9c
- Use ADetailer hand_yolov9c.pt
- 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, scenery, " Negative prompt: "bad anatomy, worst quality, low quality, poor quality, six_fingers, 6fingers, bad_hands, mutated_hands, mutated_fingers, ")
- person_yolov8m_seg
- Use ADetailer person_yolov8m-seg.pt
Output Schema
Output
Example Execution Logs
Using text to image mode. Using seed: 1683936707 0%| | 0/30 [00:00<?, ?it/s] 7%|▋ | 2/30 [00:00<00:02, 11.47it/s] 13%|█▎ | 4/30 [00:00<00:02, 9.44it/s] 17%|█▋ | 5/30 [00:00<00:02, 9.09it/s] 20%|██ | 6/30 [00:00<00:02, 8.84it/s] 23%|██▎ | 7/30 [00:00<00:02, 8.68it/s] 27%|██▋ | 8/30 [00:00<00:02, 8.57it/s] 30%|███ | 9/30 [00:01<00:02, 8.49it/s] 33%|███▎ | 10/30 [00:01<00:02, 8.44it/s] 37%|███▋ | 11/30 [00:01<00:02, 8.40it/s] 40%|████ | 12/30 [00:01<00:02, 8.37it/s] 43%|████▎ | 13/30 [00:01<00:02, 8.36it/s] 47%|████▋ | 14/30 [00:01<00:01, 8.35it/s] 50%|█████ | 15/30 [00:01<00:01, 8.33it/s] 53%|█████▎ | 16/30 [00:01<00:01, 8.31it/s] 57%|█████▋ | 17/30 [00:01<00:01, 8.31it/s] 60%|██████ | 18/30 [00:02<00:01, 8.31it/s] 63%|██████▎ | 19/30 [00:02<00:01, 8.32it/s] 67%|██████▋ | 20/30 [00:02<00:01, 8.31it/s] 70%|███████ | 21/30 [00:02<00:01, 8.30it/s] 73%|███████▎ | 22/30 [00:02<00:00, 8.29it/s] 77%|███████▋ | 23/30 [00:02<00:00, 8.30it/s] 80%|████████ | 24/30 [00:02<00:00, 8.29it/s] 83%|████████▎ | 25/30 [00:02<00:00, 8.31it/s] 87%|████████▋ | 26/30 [00:03<00:00, 8.31it/s] 90%|█████████ | 27/30 [00:03<00:00, 8.32it/s] 93%|█████████▎| 28/30 [00:03<00:00, 8.31it/s] 97%|█████████▋| 29/30 [00:03<00:00, 8.30it/s] 100%|██████████| 30/30 [00:03<00:00, 8.30it/s] 100%|██████████| 30/30 [00:03<00:00, 8.47it/s] Inpainting... 0: 640x640 1 face, 5.8ms Speed: 1.7ms preprocess, 5.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) padded dim: (np.int64(428), np.int64(103), np.int64(787), np.int64(446)) Loading StableDiffusionXLInpaintPipeline 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 8.62it/s] 50%|█████ | 2/4 [00:00<00:00, 8.46it/s] 75%|███████▌ | 3/4 [00:00<00:00, 8.42it/s] 100%|██████████| 4/4 [00:00<00:00, 9.06it/s] generated inpaint dim: (1024, 1024)
Version Details
- Version ID
680ac7adef9bcf4ee53c00dbd186433f469ca11c9ae4dd84a041bf4197caf6b1
- Version Created
- March 6, 2025