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Vintedois (22h) Diffusion model trained by Predogl and piEsposito with open weights, configs and prompts (as it should be)

This model was trained on a large amount of high quality images with simple prompts to generate beautiful images without a lot of prompt engineering.

You can enforce style by prepending your prompt with estilovintedois if it is not good enough.

It should also be very dreamboothable, being able to generate high fidelity faces with a little amount of steps.

You can use this model commercially or whatever, but we are not liable if you do messed up stuff with it.

Gradio

We support a Gradio Web UI to run vintedois-diffusion-v0-1 : Open In Spaces

Model card

Everything from Stable Diffusion v1-5, plus the fact that this is being built by two indie devs, so it was not extensively tested for new biases.

You can run this concept via diffusers Colab Notebook for Inference

Sample results

Example prompts

  • Prompt: photo of an old man in a jungle, looking at the camera

  • CFG Scale: 7.5

  • Scheduler: diffusers.EulerAncestralDiscreteScheduler

  • Steps: 30

  • Seed: 44

  • Prompt: kneeling cat knight, portrait, finely detailed armor, intricate design, silver, silk, cinematic lighting, 4k

  • CFG Scale: 7.5

  • Scheduler: diffusers.EulerAncestralDiscreteScheduler

  • Steps: 50

  • Seed: 44

  • Prompt: a beautiful girl In front of the cabin, the country, by Artgerm Lau and Krenz Cushart,hyperdetailed, trending on artstation, trending on deviantart

  • CFG Scale: 7.5

  • Scheduler: diffusers.EulerAncestralDiscreteScheduler

  • Steps: 50

  • Seed: 44

  • Prompt: destroyed city

  • CFG Scale: 7.5

  • Scheduler: diffusers.EulerAncestralDiscreteScheduler

  • Steps: 50

  • Seed: 44

  • Prompt: victorian city landscape

  • CFG Scale: 7.5

  • Scheduler: diffusers.EulerAncestralDiscreteScheduler

  • Steps: 50

  • Seed: 44

  • Prompt: prehistoric native living room

  • CFG Scale: 7.5

  • Scheduler: diffusers.EulerAncestralDiscreteScheduler

  • Steps: 50

  • Seed: 44

Thanks for the Google Developer Expert program for providing us with a GCP credits grant.

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