ModelsLab/Ether Real Mix - Ether Real Mix 3.1
etherrealmix-etherrealmix31* Ether Real Mix - Version 3.1
Ether Real 3.1 brings significant improvements to style variety, as well as less bias and a refined base style.
3.1 serves as a turning point for Ether Real as I've finally been able to achieve better style flexibility. Previous versions, while quite flexible in terms of subject matter, were biased towards the standard 2.5D style. You typically had to heavily weight and prompt tags to push Ether Real into different styles. By significantly altering a lot of weights during MBW merging, focusing on adding more composition specific weights within more diverse models, Ether Real has much better style variety while retaining its base 2.5D feel and general purpose capabilities.
I substituted Deliberate with RunDiffusion FX Photorealistic and updated Juggernaut to Aftermath. While Deliberate is a great, diverse model I wanted to push Ether Real's photorealistic capabilities while complimenting Juggernaut Aftermath's style.
* TLDR: Better style variety, less biased, Papa John's.
Ether Real Mix 3.1 should be significantly easier to produce different styles, from a photorealistic feel, to simple anime/cartoon illustrations.
Deliberate 2 --> RunDiffusion FX Photorealistic
Juggernaut Final --> Juggernaut Aftermath
📙 Model Merging Info - v3.1
I have no training or real knowledge of machine learning. I merged the model using the information provided on WarriorMama777's AOM model page as well as the ones in these Rentrys. I very arbitrarily mixed the UBM weights of each model, modifying the values with trial and error until I was visually satisfied with it.
I utilized the SuperMerger extension for AUTO1111 by hako-mikan.
▼ Merging
MODEL A: Counterfeit-V3.0_fp16.safetensors
MODEL B: Silicon29-dark.safetensors
Weight Sum merge - ❌ Don't Use MBW
Alpha: 0.5
Model: Counterfeit3-Silicon29DarkSum-05
▼
MODEL A: Counterfeit3-Silicon29DarkSum-05
MODEL B: awpainting_v11.safetensors
MODEL C: pastelmix-better-vae-fp16.safetensors
Triple Sum merge - ✔️ Use MBW
Alpha: 1
0,0.35,0.35,0.35,0.3,0.3,0.2,0.1,0,0,0.15,0.25,0.25,0.25,0.6,0.6,0.6,0.8,1,0.9,0.7,0.7,0.6,0.5,0.5,0.5Beta: 1
0,0.25,0.25,0.25,0.2,0.2,0.15,0.1,0,0,0.1,0.15,0.25,0.25,0.2,0.2,0.15,0.1,0,0.1,0.15,0.25,0.3,0.35,0.35,0.35Model: Counterfeit3-Silicon29DarkSum-05-AWPaint1x1-PastelMix
▼
MODEL A: Counterfeit3-Silicon29DarkSum-05-AWPaint1x1-PastelMix
MODEL B: ayonimix_V5.safetensors
MODEL C: Basil_mix_fixed.safetensors
Triple Sum merge - ✔️ Use MBW
Alpha: 1
0,0.5,0.5,0.5,0.5,0.5,0.4,0.4,0.4,0.4,0.4,0.5,0.5,0.5,0.1,0.1,0.1,0.15,0.15,0.3,0.4,0.4,0.4,0.4,0.3,0.3Beta: 1
0,0.5,0.5,0.5,0.5,0.4,0.3,0.25,0.25,0.25,0.3,0.4,0.5,0.5,0,0,0,0,0,0,0,0,0,0,0,0Model: Counterfeit3-Silicon29DarkSum-05-AWPaint1x1-PastelMix-Ayoni5-Basil
▼
MODEL A: Counterfeit3-Silicon29DarkSum-05-AWPaint1x1-PastelMix-Ayoni5-Basil
MODEL B: rundiffusionFX_v10.safetensors
MODEL C: juggernaut_aftermath.safetensors
Triple Sum merge - ✔️ Use MBW
Alpha: 1
0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.25,0.25,0.25,0.25,0,0,0.1,0,0.3,0.1,0.3,0.25,0.35,0.45,0,0Beta: 1
0,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.2,0.2,0.25,0.25,0,0,0,0,0.2,0,0.4,0.2,0.45,0.25,0,0Final Model: EtherRealMix-3x1
Models Used:
*Counterfeit-V3.0_fp16.safetensors
CBFBA64E662370F59D4AA2AA69BF16749FCE93846CCCE20506AEE5DF01169859
*Silicon29-dark.safetensors
de329f31ad222a0d765897aa38796811276691288b104099523649bdf1ef9708
*awpainting_v11.safetensors
E7AAB5067D84D2BDE9A4E610CBF9E5A2BC4F62D8ECFBE7150628FD20EFB5A7D5
*pastelmix-better-vae-fp16.safetensors
D01A68AE76F97506363F387F5F28BB564AD9E20924844FD5945E600B72D39E79
*ayonimix_V5.safetensors
B46B04432B070FD88D69161B62C43EDCD4340DFC27FFB2E5FE7EDA64950C7E34
*juggernaut_aftermath.safetensors
BA12F15E723B98A045190DC4698AEA0BFA735CFBA1EE1818A55924BEC909CC4C
*rundiffusionFX_v10.safetensors
AD1A10552B992BE7A2D903FB7FF377D8D84524A8EC3A9F9A66ACAB3CED7A8D3E
*Basil_mix_fixed.safetensors
0FF127093F5BE455057742C40CEF578407B6933F240EE8DC5ED0F3061196FB38Input
Customize your API request
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Generation complete
Unknown content type




