lucataco/thinkdiffusionxl 🔢📝❓✓ → 🖼️

▶️ 16.2K runs 📅 Nov 2023 ⚙️ Cog 0.8.5 🔗 GitHub 📄 Paper ⚖️ License
nsfw photorealistic text-to-image

About

ThinkDiffusionXL is a go-to model capable of amazing photorealism that's also versatile enough to generate high-quality images across a variety of styles and subjects without needing to be a prompting genius

Example Output

Prompt:

"cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous"

Output

Example output

Performance Metrics

8.06s Prediction Time
8.03s Total Time
All Input Parameters
{
  "seed": 403,
  "width": 1024,
  "height": 1024,
  "prompt": "cinematic film still dramatic side lighting, dramatic intense stare closeup portrait, dark black background, hdr, dramatic beautiful warrior woman with warrior face paintings and blood, viking braids, blue eyes, pelt, skull necklace, shallow depth of field, vignette, highly detailed, high budget Hollywood film, cinemascope, moody, epic, gorgeous",
  "scheduler": "DPMSolverMultistep",
  "num_outputs": 1,
  "nsfw_checker": true,
  "guidance_scale": 6,
  "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, blur, bokeh",
  "num_inference_steps": 30
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
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
scheduler Default: DPMSolverMultistep
scheduler
num_outputs Type: integerDefault: 1Range: 1 - 4
Number of images to output.
nsfw_checker Type: booleanDefault: true
Select to filter for NSFW content
guidance_scale Type: numberDefault: 7Range: 1 - 50
Scale for classifier-free guidance
negative_prompt Type: stringDefault:
Input Negative Prompt
num_inference_steps Type: integerDefault: 30Range: 1 - 500
Number of denoising steps
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using seed: 403
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Version Details
Version ID
c41c12756b561bc81047a9307c9143589d158ef084655dbb3073b4f08ff54f32
Version Created
November 6, 2023
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