delta-lock/ponynai3 ❓🖼️🔢📝✓ → 🖼️

▶️ 774.6K runs 📅 Jun 2024 ⚙️ Cog 0.14.10 🔗 GitHub ⚖️ License
anime image-inpainting image-to-image nsfw text-to-image

About

Models fine-tuned from Pony-XL series.

Example Output

Prompt:

"1girl"

Output

Example output

Performance Metrics

7.56s Prediction Time
128.10s Total Time
All Input Parameters
{
  "vae": "default",
  "seed": -1,
  "model": "tPonynai3_v7",
  "steps": 35,
  "width": 1184,
  "height": 864,
  "prompt": "1girl",
  "strength": 0.7,
  "cfg_scale": 5,
  "clip_skip": 1,
  "pag_scale": 3,
  "scheduler": "Euler a",
  "batch_size": 1,
  "blur_factor": 5,
  "negative_prompt": "animal, cat, dog, big breasts",
  "guidance_rescale": 0.5,
  "prepend_preprompt": true
}
Input Parameters
vae Default: default
The VAE to use
mask Type: string
The mask for inpainting, white areas will be modified and black preserved (will be scaled then cropped to the set width and height)
seed Type: integerDefault: -1
The seed used when generating, set to -1 to use a random seed
image Type: string
The image for image to image or as the base for inpainting (will be scaled then cropped to the set width and height)
loras Type: string
The LoRAs to use, must be either a string with format "URL:Strength,URL:Strength,..." (strength is optional, default to 1), or a JSON list dumped as a string containing key "url" (required), "strength" (optional, default to 1), and "civitai_token" (optional, for downloading from CivitAI) (NOTICE: Will download the weights, might take a while if the LoRAs are huge or the download is slow, WILL CHARGE WHEN DOWNLOADING)
model Default: tPonynai3_v7
The model to use
steps Type: integerDefault: 35Range: 1 - 100
The steps when generating
width Type: integerDefault: 1184Range: 1 - 4096
The width of the image
height Type: integerDefault: 864Range: 1 - 4096
The height of the image
prompt Type: stringDefault: 1girl
The prompt, uses Compel weighting syntax
strength Type: numberDefault: 0.7Range: 0 - 1
How much noise to add (for image to image and inpainting only, larger value indicates more noise added to the input image)
cfg_scale Type: numberDefault: 5Range: 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: 3Range: 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
blur_factor Type: numberDefault: 5Range: 0 - ∞
The factor to blur the inpainting mask for smoother transition between masked and unmasked
negative_prompt Type: stringDefault: animal, cat, dog, big breasts
The negative prompt (for things you don't want), uses Compel weighting syntax
guidance_rescale Type: numberDefault: 0.5Range: 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, " | Negative Prompt: "score_4, score_3, score_2, score_1, worst quality, bad hands, bad feet, ")
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using text to image mode.
Using seed: 421887767
  0%|          | 0/35 [00:00<?, ?it/s]
  3%|▎         | 1/35 [00:00<00:08,  4.21it/s]
  9%|▊         | 3/35 [00:00<00:04,  7.09it/s]
 11%|█▏        | 4/35 [00:00<00:04,  7.01it/s]
 14%|█▍        | 5/35 [00:00<00:04,  6.97it/s]
 17%|█▋        | 6/35 [00:00<00:04,  6.93it/s]
 20%|██        | 7/35 [00:01<00:04,  6.89it/s]
 23%|██▎       | 8/35 [00:01<00:03,  6.87it/s]
 26%|██▌       | 9/35 [00:01<00:03,  6.86it/s]
 29%|██▊       | 10/35 [00:01<00:03,  6.85it/s]
 31%|███▏      | 11/35 [00:01<00:03,  6.84it/s]
 34%|███▍      | 12/35 [00:01<00:03,  6.82it/s]
 37%|███▋      | 13/35 [00:01<00:03,  6.82it/s]
 40%|████      | 14/35 [00:02<00:03,  6.83it/s]
 43%|████▎     | 15/35 [00:02<00:02,  6.81it/s]
 46%|████▌     | 16/35 [00:02<00:02,  6.80it/s]
 49%|████▊     | 17/35 [00:02<00:02,  6.80it/s]
 51%|█████▏    | 18/35 [00:02<00:02,  6.80it/s]
 54%|█████▍    | 19/35 [00:02<00:02,  6.80it/s]
 57%|█████▋    | 20/35 [00:02<00:02,  6.80it/s]
 60%|██████    | 21/35 [00:03<00:02,  6.79it/s]
 63%|██████▎   | 22/35 [00:03<00:01,  6.78it/s]
 66%|██████▌   | 23/35 [00:03<00:01,  6.79it/s]
 69%|██████▊   | 24/35 [00:03<00:01,  6.78it/s]
 71%|███████▏  | 25/35 [00:03<00:01,  6.78it/s]
 74%|███████▍  | 26/35 [00:03<00:01,  6.77it/s]
 77%|███████▋  | 27/35 [00:03<00:01,  6.77it/s]
 80%|████████  | 28/35 [00:04<00:01,  6.77it/s]
 83%|████████▎ | 29/35 [00:04<00:00,  6.76it/s]
 86%|████████▌ | 30/35 [00:04<00:00,  6.76it/s]
 89%|████████▊ | 31/35 [00:04<00:00,  6.75it/s]
 91%|█████████▏| 32/35 [00:04<00:00,  6.75it/s]
 94%|█████████▍| 33/35 [00:04<00:00,  6.74it/s]
 97%|█████████▋| 34/35 [00:05<00:00,  6.74it/s]
100%|██████████| 35/35 [00:05<00:00,  6.74it/s]
100%|██████████| 35/35 [00:05<00:00,  6.77it/s]
Version Details
Version ID
848da0d3e5a762b8662592acd1818003a3b4672f513d7250895bd0d96c6a48c9
Version Created
May 11, 2025
Run on Replicate →