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

▶️ 776 runs 📅 Mar 2025 ⚙️ Cog 0.13.7 ⚖️ License
anime nsfw text-to-image

About

Example Output

Prompt:

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

Output

Example 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 Default: default
The VAE to use
seed Type: integerDefault: -1
The seed used when generating, set to -1 for random seed
model Default: BoobAI-v2.0-Alpha
The model to use
steps Type: integerDefault: 30Range: 1 - 100
The steps when generating
width Type: integerDefault: 1024Range: 1 - 4096
The width of the image
height Type: integerDefault: 1024Range: 1 - 4096
The height of the image
prompt Type: stringDefault: street, 1girl, dark-purple short hair, purple eyes, medium breasts, cleavage, casual clothes, smile, V
The prompt, uses Compel weighting syntax
cfg_scale Type: numberDefault: 7Range: 1 - 50
CFG scale defines how much attention the model pays to the prompt when generating, set to 1 to disable
clip_skip Type: integerDefault: 2Range: 1 - ∞
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 Type: numberDefault: 0Range: 0 - 50
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 Default: Euler a
The scheduler to use
batch_size Type: integerDefault: 1Range: 1 - 4
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 Type: booleanDefault: true
Use ADetailer face_yolov9c.pt
hand_yolov9c Type: booleanDefault: false
Use ADetailer hand_yolov9c.pt
negative_prompt Type: stringDefault: nsfw, naked
The negative prompt (For things you don't want), uses Compel weighting syntax
guidance_rescale Type: numberDefault: 1Range: 0 - 5
The amount to rescale CFG generated noise to avoid generating overexposed images, set to 0 or 1 to disable
prepend_preprompt Type: booleanDefault: true
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 Type: booleanDefault: false
Use ADetailer person_yolov8m-seg.pt
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using text to image mode.
Using seed: 1683936707
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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
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generated inpaint dim: (1024, 1024)
Version Details
Version ID
680ac7adef9bcf4ee53c00dbd186433f469ca11c9ae4dd84a041bf4197caf6b1
Version Created
March 6, 2025
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