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IllustreijL

IllustreijL

IllustreijL is a semireal anime image generator using Illustrious checkpoint merging, producing images with varying detail levels depending on prompt engineering and post-processing.
Author:LoRA
Inclusion Time:23 Jan 2025
Downloads:4556
Pricing Model:Free
Size:6.85 G
Version:v2.0
Introduction

IllustreijL: A Semireal Anime AI Image Generator

IllustreijL is a semireal anime image generator utilizing a blend of Illustrious checkpoint merging.  Showcase images were created using Euker a, with 30 steps, Hires x 1.5, and Clip skip 1 for the first set of images and 2 for the second.  Image resolutions are approximately 720x1280 and 1040x1520 respectively.  For enhanced detail at further distances, an ADetailer is recommended.

Image Generation Comparison:

The following prompts were used to illustrate the differences in output:

Prompt 1: masterpiece, best quality, 1girl, woman, witch, face, portrait, looking at viewer, closed mouth, simple background, worst quality, bad quality

Prompt 2: realistic, masterpiece, best quality, 1girl, woman, witch, face, portrait, looking at viewer, closed mouth, simple background, worst quality, bad quality

Prompt 3: realistic, masterpiece, best quality, 1girl, woman, witch, face, portrait, looking at viewer, closed mouth, simple background, dark background, worst quality, bad quality

These examples highlight the impact of prompt engineering on the final image.  We hope this provides a clear understanding of IllustreijL's capabilities.

Preview
FAQ

What to do if the model download fails?

Check whether the network connection is stable, try using a proxy or mirror source; confirm whether you need to log in to your account or provide an API key. If the path or version is wrong, the download will fail.

Why can't the model run in my framework?

Make sure you have installed the correct version of the framework, check the version of the dependent libraries required by the model, and update the relevant libraries or switch the supported framework version if necessary.

What to do if the model loads slowly?

Use a local cache model to avoid repeated downloads; or switch to a lighter model and optimize the storage path and reading method.

What to do if the model runs slowly?

Enable GPU or TPU acceleration, use batch data processing methods, or choose a lightweight model such as MobileNet to increase speed.

Why is there insufficient memory when running the model?

Try quantizing the model or using gradient checkpointing to reduce the memory requirements. You can also use distributed computing to spread the task across multiple devices.

What should I do if the model output is inaccurate?

Check whether the input data format is correct, whether the preprocessing method matching the model is in place, and if necessary, fine-tune the model to adapt to specific tasks.

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