datacte/proteus-v0.2 🖼️🔢📝❓✓ → 🖼️

▶️ 11.5M runs 📅 Jan 2024 ⚙️ Cog 0.9.3 🔗 GitHub ⚖️ License

image-inpainting image-to-image text-to-image

About

Proteus v0.2 shows subtle yet significant improvements over Version 0.1. It demonstrates enhanced prompt understanding that surpasses MJ6, while also approaching its stylistic capabilities.

Example Output

Prompt:

"cinematic film still of Kodak Motion Picture Film: (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy"

Output

Performance Metrics

5.44s Prediction Time

5.45s Total Time

All Input Parameters

{
  "width": 1024,
  "height": 1024,
  "prompt": "cinematic film still of Kodak Motion Picture Film: (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
  "scheduler": "KarrasDPM",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": true,
  "prompt_strength": 0.8,
  "num_inference_steps": 20
}

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: black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed: Input prompt
scheduler Default: KarrasDPM: scheduler
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
guidance_scale Type: numberDefault: 7.5Range: 1 - 50: Scale for classifier-free guidance. Recommended 7-8
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.
negative_prompt Type: stringDefault: worst quality, low quality: Negative Input 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: 20Range: 1 - 100: Number of denoising steps. 20 to 35 steps for more detail, 20 steps for faster results.
disable_safety_checker Type: booleanDefault: false: Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety

Output Schema

Output

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

Example Execution Logs

Using seed: 2304021969
Prompt: cinematic film still of Kodak Motion Picture Film: (Sharp Detailed Image) An Oscar winning movie for Best Cinematography a woman in a kimono standing on a subway train in Japan Kodak Motion Picture Film Style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
txt2img mode
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 25%|██▌       | 5/20 [00:00<00:02,  5.47it/s]
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100%|██████████| 20/20 [00:03<00:00,  4.97it/s]
100%|██████████| 20/20 [00:03<00:00,  5.12it/s]

Version Details

Version ID: 06775cd262843edbde5abab958abdbb65a0a6b58ca301c9fd78fa55c775fc019
Version Created: January 24, 2024

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