jbilcke/sdxl-zelda64 🖼️🔢📝❓✓ → 🖼️

▶️ 518 runs 📅 Aug 2023 ⚙️ Cog v0.8.1+dev

About

A SDXL LoRA inspired by Zelda games on Nintendo 64

Example Output

Prompt:

"Link working as a pizza delivery driver, on a scooter, in new york, in the style of TOK"

Output

Performance Metrics

15.64s Prediction Time

15.65s Total Time

All Input Parameters

{
  "width": 1024,
  "height": 1024,
  "prompt": "Link working as a pizza delivery driver, on a scooter, in new york, in the style of TOK",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.82,
  "num_outputs": 1,
  "guidance_scale": 18.02,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "overexposed",
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}

Input Parameters

mask Type: string: Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
seed Type: integer: Random seed. Leave blank to randomize the seed
image Type: string: Input image for img2img or inpaint mode
width Type: integerDefault: 1024: Width of output image
height Type: integerDefault: 1024: Height of output image
prompt Type: stringDefault: An astronaut riding a rainbow unicorn: Input prompt
refine Default: no_refiner: Which refine style to use
scheduler Default: K_EULER: scheduler
lora_scale Type: numberDefault: 0.6Range: 0 - 1: LoRA additive scale. Only applicable on trained models.
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
refine_steps Type: integer: For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
guidance_scale Type: numberDefault: 7.5Range: 1 - 50: Scale for classifier-free guidance
apply_watermark Type: booleanDefault: true: Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
high_noise_frac Type: numberDefault: 0.8Range: 0 - 1: For expert_ensemble_refiner, the fraction of noise to use
negative_prompt Type: stringDefault:: Input Negative Prompt
prompt_strength Type: numberDefault: 0.8Range: 0 - 1: Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

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

Example Execution Logs

Using seed: 64644
Prompt: Link working as a pizza delivery driver, on a scooter, in new york, in the style of <s0><s1>
txt2img mode
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Version Details

Version ID: 435913219645a80ee6743ca500940ab8708889172ca5c4c71bbb701309bb4a60
Version Created: August 30, 2023

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