Hyphoria [Illustrious 2.0 & NAI] - v0.01
Mots-clés et tags associés
Images en vedette
Prompts recommandés
very aesthetic, masterpiece, best quality, 1girl, absurdres, solo
Prompts négatifs recommandés
worst quality, low quality, bad anatomy, distorted perspective, text, deformed, logo, lowres, watermark, shota, loli, multiple views, signature, artist name, shiny skin
Paramètres recommandés
samplers
steps
cfg
clip skip
resolution
other models
Paramètres haute résolution recommandés
upscaler
denoising strength
Conseils
The merge algorithm compares the UNET and CLIP tensors of various models and selects the best ones based on subjective weights.
Future versions will explore more granular adjustments at block level or finer granularity.
Points forts de la version
Experimental merge, no real logic behind the merge outside of picking models I liked and some numbers I thought made sense for weighting them. Future versions will have structured and less subjective evaluations to determine more optimal configurations.
An experimental merge of various models I like, using an algorithm that ideally takes the strengths of each. Thanks to @epiTune for the advice and guidance, I still have a lot to learn and a lot to do, but this is a great start.
NOTE: This model is very much WIP, but results are promising by all the people graciously testing.
Models Used
IllustriousXL V2.0 Stable - Used as base merge target
1.0 UNET/1.0 CLIP
Rouwei v0.7 eps
1.0 UNET/1.2 CLIP
IllumiYume v3.1
1.5 UNET/2.0 CLIP
Hassaku v1.3 Style A
1.4 UNET/0.5 CLIP
ionsyx v3.0
1.4 UNET/0.8 CLIP
Wicked Illustrious Mix v1.1
1.2 UNET/0.5 CLIP
mdntIllus Syn v1
1.0 UNET/1.3 CLIP
Kokio v2.0
1.2 UNET/0.8 CLIP
Diving Illustrious Anime v11
0.5 UNET/0.5 CLIP
Bismuth Illustrious Mix v2.0
1.2 UNET/0.8 CLIP
NoobAI v1.1 eps
0.7 UNET/1.5 CLIP
Unreleased Merge
1.0 UNET/2.0 CLIP
Plant Milk Hemp II
1.4 UNET/0.8 CLIP
Plant Milk Coconut
1.4 UNET/0.8 CLIP
The above may not make the most sense, but using the algorithm, each model's UNET and CLIP were compared and the best was chosen tensor by tensor, using the above weights as my subjective adjustment to influence how likely they would be chosen. I can't tell you exactly what part of what model is used where, my merge script just chose what it considered the best.
For future versions I will be experimenting with different models, along with more granular adjustments (at the block level, or even more granular than that).
License & Use
SDXL - CreativeML Open RAIL++-M
Illustrious - https://freedevproject.org/faipl-1.0-sd/
NoobAI-XL - https://civitai.com/models/license/1140829
Copied the above license list from Plant Milk's page.
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