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Gatchamn/Illustrious-XL-v1.1-Diffusers
Illustrious-XL-v1.1-Diffusers is a text-to-image model from Gatchamn. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as openrail++.
A format conversion of OnomaAIResearch/Illustrious-XL-v1.1, by OnomaAI Research. All credit for the model belongs to them.
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.safetensors6.9 GB · 100%
From the Hugging Face model README
A format conversion of OnomaAIResearch/Illustrious-XL-v1.1, by OnomaAI Research. All credit for the model belongs to them.
The original is published as a single CompVis-layout .safetensors. This repository holds the
same weights rearranged into the standard diffusers directory layout, so it can be loaded without
a conversion step. Nothing was retrained, pruned, or quantized.
CreativeML Open RAIL++-M, carried over unchanged from the original release. Commercial use is permitted, subject to the use restrictions in the licence. Read it on the original model page.
Converted with SDXLSingleFileConverter from
mindfire-image: 2641 tensors written
(unet 1680, text_encoder_2 517, vae 248, text_encoder 196). Every tensor's shape was verified
against Stability's SDXL 1.0 base, which also supplied the configs and tokenizers a single file
does not carry. One key was dropped, conditioner.embedders.1.model.logit_scale, which diffusers'
text encoder does not use.
OnomaAI's recommended settings: Euler a, 20–28 steps, CFG 5–7.5, at SDXL's native 1024² (booru framings like 832×1216 cost no more).
Illustrious is trained on Danbooru tags, not sentences, and learned an explicit quality
vocabulary — worst quality → bad → average → good → best quality, plus masterpiece.
1girl, solo, long hair, white dress, looking at viewer, outdoors, masterpiece, best quality
Suggested negative prompt, from the model card:
worst quality, comic, multiple views, bad quality, low quality, lowres, displeasing,
very displeasing, bad anatomy, bad hands, scan artifacts, monochrome, greyscale
Most Illustrious LoRAs on Civitai target v0.1, not v1.1. Same architecture and tag vocabulary, different weights — they generally still fire, but expect to lower the scale and to see some drift from the samples they advertise.