jeanhadrien
almost 3 years ago

Original artwork and all credits go to Sam Yang (samdoesarts) 🎨

If you liked the models, join my πŸŽ₯ insta, or let's talk on discord: JH#7326

Training info :

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What is JH's samdoesarts ?

JH's samdoesarts is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user jeanhadrien. Derived from the powerful Stable Diffusion (SD 1.5) model, JH's samdoesarts 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 JH's samdoesarts is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as landscapes, character, digital illustration.

With a rating of 5 and over 6 ratings, JH's samdoesarts is a popular choice among users for generating high-quality images from text prompts.

Can I download JH's samdoesarts ?

Yes! You can download the latest version of JH's samdoesarts from here.

How to use JH's samdoesarts ?

To use JH's samdoesarts , 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 JH's samdoesarts , check out our crash course in AI image generation.

Download (1.94 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

4k 960

Info

Base model: SD 1.5
Trigger word:

Latest version (v5): 1 File

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

About this version: v5

For v5, data is split :

  • face closeups - Reg : a subset of ffhq by nvidia
  • portraits - Reg : women digital portraits and photos generated by sd1.5
  • zoomed out / landscapes - Reg : generated by sd1.5 using BLIP captions from training data

3 Versions