Easy, Simple, High Quality (with a slight trade-off in variety)
blue_pencil-XL meets ANIMAGINE XL 3.0 / ANIMAGINE XL 3.1
License: Fair AI Public License 1.0-SD
You should share the merge recipe if you release a model merged with anima_pencil-XL.
This license does not add any restrictions on your generated images.
For more details, please see the license section of ANIMAGINE XL 3.0.
Please see the "About this Version" section for information on each version.
`No generation services` only apply to v2.0.0
HuggingFace: https://huggingface.co/bluepen5805/anima_pencil-XL
Why not merge ANIMAGINE XL 3.X into blue_pencil-XL?
I want to provide blue_pencil-XL under the CreativeML Open RAIL++-M license.
Description
# Checkpoints
# LoRAs
self-made QualitySlider (Concept Sliders)
# Recipe
blue_pencil-XL-v5.0.0 + ( ANIMAGINE XL 3.0 - ANIMAGINE XL 2.0 ) x 1.0, Add difference(trainDifference)
( blue_pencil-XL-v5.0.0 x 0.35 ) + ( [1] x 0.65 ), Weight sum(cosineA), Elemental: "BASE:conditioner.embedders.0.transformer:0.35,BASE:conditioner.embedders.1.model:0.85"
[2] + ( AingDiffusion XL v0.51 - ANIMAGINE XL 3.0 ) x 0.35, Add difference(trainDifference)
[3] + ( Anime Illust Diffusion XL v0.71 - ANIMAGINE XL 3.0) x 0.6, Add difference(trainDifference)
[4] + ( 5th tail v0.1_beta - ANIMAGINE XL 3.0) x 1.0, Add difference(smoothAdd)
[5] + ( /Anime/bulldozer_BETA v2.0 - ANIMAGINE XL 3.0) x 1.0, Add difference(trainDifference)
[6] + ( SwampMachine v2.0 - ANIMAGINE XL 3.0) x 0.75, Add difference(trainDifference)
[7] + ( AAM XL Anime Mix v1.0 - ANIMAGINE XL 3.0) x 0.45, Add difference(trainDifference)
( [8] x 0.65) + (Sukiyaki-XL v1.0 x 0.35), Weight sum(cosineA)
( [9] x 0.85) + (SakuMix v1.0 x 0.15), Weight sum(cosineA)
( [10] x 0.7) + ( [2] x 0.3 ), Weight sum(cosineB), Elemental: "BASE:conditioner.embedders.0.transformer:1,BASE:conditioner.embedders.1.model:0.05"
[11] + ( QualitySlider x 0.65)
( [12] x 0.85) + ( blue_pencil-XL-v5.0.0 x 0.15), Weight sum(cosineA), Elemental: "BASE:*:0"
FAQ
Comments (16)
WOW! I love it! What a Masterpeace you ceated!
What a tragic license is on this. Generation Services are the only way people like me who cannot afford a super computer to use models like this. As if that was enforceable anyway, what a bad joke
You can run SDXL perfectly fine on a 3060 12gb. That's like $300, hardly a supercomputer.
@randomlettershdhtyxod yeah that doesn't fit in my case, nor do I have a power supply for it, and $300 is a lot of money in my country. Idiot
@MorganFreeman These guys provide these models for free and you complain because you can't afford what is needed? Before you start insulting people because YOU can't afford anything, let's see you try training a model and upload it here to contribute to the community. Oh, that's right, you can't because you don't have a GPU that could handle it. Be happy these models are free and if you can't use it, move on. It's not their problem YOU can't use it because of your hardware.
Look up nmkd stable diffussion gui on itch.io. Update the program. Put the lora and checkpoint files in the right folders. It might be slow but if you run the image at 512x512 on a old computer with 24 steps. The image might take 8-19 hours on low end hardware from the 2000's if you have a semi good computer you might beable to render 720p images in 4 hours time. Otherwise, you need a nvidia computer to render stuff fast.
@MorganFreeman Very true, $300 is a lie, you need to buy matching mobo and CPU not forgetting DDR5 one, as I have DDR4. In the end $300 is a lie, in reality a lot more money needed to "upgrade" (more like replace).
It's interesting, cause here I thought everyone would want to keep these things "licensed" like this to keep it free and open to the public. I didn't think that if said model is licensed in this way that it then can't be used on generation software for people that don't have the income/situation to utilize this hardware. It's almost as if SD purposefully made sdxl more hardware intensive just so they could start getting people to buy into all the generation services out there cause they can't run it locally as easily as 1.5. However, that's just my tinfoil hat theory. I can see both sides to it now, but still prefer it to the public, for even if you can't generate on it now... it's not going anywhere, so if anything it's an incentive to get the money/situation figured out and then you have this as reward, plus all the other amazing models these awesome creators have given to us.
@trytensor sounds like a lack of researching on the users end. Using ai is no different than someone buying a integrated GPU vs a dedicated GPU.
If your gonna buy a low end computer. You shouldn't expect any good results or fast computing .
@FoxMccloud2022 Just little correction there, not gonna buy, but had already bought, long time ago.
@trytensor To correct the corrected. Just because, the computer you have may have ben modern doesn't make it usable with most ai programs. Unless you have sufficient ram and vram you wont get far with ai generation. Even with my intel pentium 2 with invoke ai I can run 512p 22 step in around 8 hours. So theoretically if your computer has 8 gb ram and vram unlike my computer with 4gb ram and 256 mb of vram. Your computer should beable to create art in a matter of minutes.
@FoxMccloud2022 Yeah, my point is neither I bought low-end gizmos due to lack of research at 2016 DDR4 is the king, nor I'm happy somebody just saying "buy 3060 now it's cheap only few bucks not supercomputer" if you get what inb4 addressed.
@trytensor If it helps. Why not get a crucible 20 gb ram card for like $20 and a usb with $50 -80 gb of ram for $40. So you could use the usb for ready boosting to help act as vram. I know its not as good as upgrading hardware. But, adding more ram and ready boosting might help improve ai generation. If my old as heck computer can do art. I'm sure all you need is something alot less cost effective. Since, it's not like you need a gaming machine. What resolution are you trying to create art with?
@FoxMccloud2022 Well, I'm mostly only trying few models here and there, more curious towards motion and img2vid like stuffs. Getting 1024x768 already made me happy, if rarely 1344x768, but for 1.5 stuff usually 768x512 is enough, since there is tile upscaler. The dimension here is w x h.
2.0 and 2.0.1 give simply terrible results. This is literally a mosaic that upscale fixes with great difficulty. And if you use lora, the results can even be too shocking (in a bad way). The reason for this is still not clear.
Try it with Euler / Euler Ancestral. It seems to fix the problem, for some reason. Though you also need the recommended negative prompt.









