brewwh/cog-a1111-ui ❓🔢📝✓ → 🖼️

▶️ 3.7K runs 📅 Dec 2023 ⚙️ Cog 0.9.4

About

A collection of anime stable diffusion models with VAEs and LORAs.

Example Output

Prompt:

"masterpiece, illustration, portrait of a beautiful young woman"

Output

Performance Metrics

27.56s Prediction Time

325.23s Total Time

All Input Parameters

{
  "vae": "ema_original.pt",
  "seed": -1,
  "model": "anythingv.safetensors",
  "steps": 15,
  "width": 768,
  "height": 768,
  "prompt": "masterpiece, illustration, portrait of a beautiful young woman",
  "hr_scale": 2,
  "cfg_scale": 7,
  "enable_hr": true,
  "batch_size": 4,
  "hr_upscaler": "R-ESRGAN 4x+ Anime6B",
  "sampler_name": "DPM++ 2M Karras",
  "negative_prompt": "low quality, bad quality, worst quality",
  "denoising_strength": 0.38,
  "hr_second_pass_steps": 8
}

Input Parameters

vae Default: None: The vae to use
seed Type: integerDefault: -1: The seed used when generating, set to -1 for random seed
model Default: xxmix.safetensors: The model to use
steps Type: integerDefault: 15Range: 1 - 100: The steps when generating
width Type: integerDefault: 768Range: 1 - 2048: The width of the image
height Type: integerDefault: 768Range: 1 - 2048: The height of the image
prompt Type: stringDefault: masterpiece, illustration, portrait of a beautiful young woman: The prompt
hr_scale Type: integerDefault: 2Range: 1 - 4: The scale to resize
cfg_scale Type: numberDefault: 7Range: 1 - 20: CFG Scale defines how much attention the model pays to the prompt when generating
enable_hr Type: booleanDefault: false: Generate high resoultion version
batch_size Type: integerDefault: 1Range: 1 - 4: Number of images to generate (1-4)
hr_upscaler Default: R-ESRGAN 4x+ Anime6B: The upscaler to use when performing second pass
sampler_name Default: DPM++ 2M Karras: The sampler used when generating
negative_prompt Type: stringDefault: low quality, bad quality, worst quality: The negative prompt (For things you don't want)
denoising_strength Type: numberDefault: 0.38Range: 0 - 1: The strength when applying denoising
hr_second_pass_steps Type: integerDefault: 8Range: 0 - 30: The steps when performing second pass

Output Schema

Output

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

Example Execution Logs

Checking model and vae...
Previous model: xxmix.safetensors
Updating the model...
Loading weights [1cb9f9c58a] from cache
Loading VAE weights specified in settings: cached ema_original.pt
Applying xformers cross attention optimization.
Weights loaded in 0.6s (apply weights to model: 0.2s, move model to device: 0.3s).
Previous vae: ema_original.pt
VAE is already up-to-date.
Done, time used: 1.7655346393585205 seconds.
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Version Details

Version ID: 15680039e93e5d25a863e8a5a4f82dcc5398011c321ca86362a20f71b09fb7ff
Version Created: February 22, 2024

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