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LatestUnknownv0.1
UnknownText → Image

Illustrious-XL v0.1 Arrives as Anime Image Base

A 3.5B-parameter SDXL derivative aims to become the go-to foundation for anime-style text-to-image fine-tunes.

Sep 25, 2024
NotableOther

Illustrious-XL has landed in its first public release, v0.1, positioning itself as a dedicated base model for anime-style image generation. Built on the Stable Diffusion XL architecture and weighing in at roughly 3.5 billion parameters, the model is published on Civitai and targets creators who want a clean foundation rather than a heavily styled finished product.

The distinction matters. Base models are not meant to dazzle out of the box; they exist to be fine-tuned, merged, and adapted. By offering an SDXL-derived starting point tuned for anime aesthetics, Illustrious-XL slots into a workflow that thousands of hobbyists and small studios already use to produce specialized checkpoints and LoRAs.

Why it matters

The open image-generation ecosystem runs on shared foundations. A well-behaved base model can ripple outward into dozens of community derivatives, which is exactly the role Illustrious-XL is reaching for.

  • SDXL lineage means broad compatibility with existing tooling and pipelines.
  • Around 3.5B parameters keeps it accessible on consumer hardware.
  • An anime-focused base lowers the lift for downstream fine-tuners.

As a v0.1, expectations should be calibrated accordingly: this is an early checkpoint meant to seed further work. Its real test will be how many fine-tunes it inspires and how those build on the foundation in the months ahead.

Sources

  • Illustrious-XL

    civitai

    Visit
OlderFLUX.1 Dev Becomes the Open-Weight Base to BeatBlack Forest Labs · Text → Image · 2 years agoNewerpyannote ships community-1 diarization pipelinePyannote · Speech → Text · 2 years ago

Get the model

civitai

Specs

Parameters3.5B
LicenseOTHER
Downloads166.8K

Can you run it?

Runs on a laptop — about 4.5 GB at FP8.

  • BF16 (as published)

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    8 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    4.5 GB
Your machine
  • Precision not published; assuming 16-bit (BF16) weights.
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Image

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