genshin-optimizer VS stable-diffusion-webui

this is the only one people use i believe. You might wanna use Inventory Kamera to import your artifacts/weapons/charcters, etc. there are guides online showing you how to use it, with multi-optimizations and stuff. It doesn’t take long to learn, and it’s sooooooooo good

i would refer to optimizer or the substat priority chart on akasha for situations like this. you can also check your burst damage on akasha with both builds and see which is higher.

To see which weapon would be better with your specific setup and artifacts, and by how much, I’d recommend using a multi-optimization target in Genshin Optimizer. You can use one of the 2 multi-optimization targets shared in the Cyno section of the Genshin Optimizer discord’s multi-opt-collection channel. Run the optimization with each weapon and compare the damage results from the best set of artifacts for each.

She'll 90% of the time want Deepwood as she's the best at triggering its effect and doesn't lose much damage from running it. Gilded can be good on her in aggravate teams if it's better than your deepwood set, but I'd consult the handy, dandy optimizer.

https://frzyc.github.io/genshin-optimizer/ is the gold standard. It requires some getting used to but it's very flexible.

Use Genshin Optimizer

I can try to calc it on Genshin optimizer but I'm gonna need a picture from akasha to see what weapon and what substat rolls you have.

The only optimizer I know of. What I did exactly was add your artifacts into my current database that had artifacts for Bennett, kazuha, and Sara, equip jade spear on raiden, use a multi optimization target config accounting for jade spear's stacking mechanic, and compared the total damage to "The Catch" build.

* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

- https://diffusionbee.com/

- https://github.com/comfyanonymous/ComfyUI

- https://github.com/AUTOMATIC1111/stable-diffusion-webui

I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.

But again, it would be nice to have first class support to locally participate in the fun.

In Auto1111, that just uses Image.blend. :)

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...

I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.

That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.

Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094

version: v1.6.1  •  python: 3.10.13  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2  •  checkpoint: 6e8d4871f8