Magic - Photoreal
Introducing MPR, my first attempt at achieving photorealism with the Illustrious base model.
The above samples were all generated with "Euler a" at 30 steps with a CFG of 5 at a native resolution of 1080x1440. No post processing effects or Lora's were used for the samples as I wanted to demonstrate the bare bones of the model and what you can expect from just basic settings and simple prompts. Too many people misrepresent what their models can do by using Lora's, embeddings, hires fix and other post process effects with their sample images and I wanted to avoid any such misrepresentation. Works well with most sampling methods and schedulers but based on the testing I've done so far I would recommend using either Euler a, dpm sde, or dpm 2s a with a cfg between 3 - 7.
Unfortunately I don't currently have enough buzz to make this model available for onsite generation yet so if you enjoy the model please consider putting in a small bid to make the model available for onsite generation via the auction system. So far as I know any buzz from placed bids is refunded if it doesn't make the top 200.
ENJOY!
MAGIC_ILL_PhotoReal is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user Titan_Uranus. Derived from the powerful Stable Diffusion (Illustrious) model, MAGIC_ILL_PhotoReal 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 MAGIC_ILL_PhotoReal is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as photorealistic, realism, base model.
With a rating of 0 and over 0 ratings, MAGIC_ILL_PhotoReal is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of MAGIC_ILL_PhotoReal from here.
To use MAGIC_ILL_PhotoReal, 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 MAGIC_ILL_PhotoReal, check out our crash course in AI image generation.
V2 is quite different to V1, with new knowledge bled from uniquely trained sdxl models over several iterations at low weights as not to introduce heavy bias or interfere too much with the Illustrious base. As a result, V2 can produce more realistic images and respond better to natural language whilst maintaining recognition of booru style prompts. It is also more susceptible to negative prompting now and the human female bias has been reduced along with better recognition of different ethnicities, This should make it easies to generate male and trans and even furry/alien characters than V1. In my testing so far it seems to maintain versatility but as expected from a realism model it still cannot match the versatility of Anime Illustrious models. Improved Versatility and character recognition will be the main focus for improvement with V3.
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