mlaundretti
1 day ago

Steps: 4-6 [CFG: 1]

Steps: 6-8 [CFG: 1-1.5]

Steps: 8-12 [CFG: 1.5-2]

Scheduler Sampler: Euler A / LCM

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What is ML Illustrious [DMD2/SPO] 6 Steps?

ML Illustrious [DMD2/SPO] 6 Steps is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user mlaundretti. Derived from the powerful Stable Diffusion (Illustrious) model, ML Illustrious [DMD2/SPO] 6 Steps has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that ML Illustrious [DMD2/SPO] 6 Steps is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, colorful, art.

With a rating of 0 and over 0 ratings, ML Illustrious [DMD2/SPO] 6 Steps is a popular choice among users for generating high-quality images from text prompts.

Can I download ML Illustrious [DMD2/SPO] 6 Steps?

Yes! You can download the latest version of ML Illustrious [DMD2/SPO] 6 Steps from here.

How to use ML Illustrious [DMD2/SPO] 6 Steps?

To use ML Illustrious [DMD2/SPO] 6 Steps, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like ML Illustrious [DMD2/SPO] 6 Steps, check out our crash course in AI image generation.

Download (6.46 GB) Download available on desktop only
You'll need to use a program like A1111 to run this – learn how in our crash course

Popularity

490 ~10

Info

Base model: Illustrious

Latest version (v1.0): 1 File

To download these files, please visit this page from a desktop computer.

About this version: v1.0

v1.0

3 Versions

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