aisha-ai-official/alchemist-mix-real-hentai-pony-v6 ❓🔢📝✓ → 🖼️

▶️ 2.9K 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

Performance Metrics

8.10s Prediction Time

8.10s Total Time

All Input Parameters

{
  "vae": "default",
  "seed": -1,
  "model": "Alchemist-Mix-Real-Hentai-Pony-v6",
  "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": 1,
  "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: Alchemist-Mix-Real-Hentai-Pony-v6: 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: 1Range: 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: "score_9, score_8_up, score_7_up, Raw photo, ultrarealistic, breathtaking, high quality, " Negative prompt: "(monochrome, white background,:1.4) score_6_up, score_5_up, score_4_up, worst quality, lamp, ribs, ribs, error, signature, watermark, patreon, username, artist name, text, ")
person_yolov8m_seg Type: booleanDefault: false: Use ADetailer person_yolov8m-seg.pt

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

Using text to image mode.
Using seed: 1037777020
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Inpainting...
0: 640x640 2 faces, 5.6ms
Speed: 1.6ms preprocess, 5.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640)
padded dim: (np.int64(337), np.int64(195), np.int64(616), np.int64(540))
Loading StableDiffusionXLInpaintPipeline
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generated inpaint dim: (1024, 1024)
padded dim: (np.int64(0), np.int64(247), np.int64(63), np.int64(342))
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generated inpaint dim: (1024, 1024)

Version Details

Version ID: 4269d31c54b072950f10bcc819057d838cb3a7f67486b3b011bc4b2c73b6a716
Version Created: March 7, 2025

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