You can find plenty of versions on Demonoid https://www.dnoid.to/. I've used them on bare metal and on virtualization.
I just checked my DNS blocked list. Topaz software do download their models from their repositories, but I haven't come across any issues. About safety, well, its upto your threat model.
Its high time we add N(vidia) to GAFAM too.
I smell a puff piece. Someone is real angry.
Umm... Yeah I'm not so sure. Check the prompt in the screenshot image. Although detailed, but ain't exactly optimised for sd prompts.
Would prefer to use LLM in a manner of guiding or inspiring, but won't crucially depend on an LLM to create prompts.
In excitement of trying out stable cascade I installed it but went out of memory. Damn!
this list helped me get started with SD. Looking back it at now, I think it needs to be updated. How can I contribute?
I had a really hard time installing the tensorRT extension for 1111
What I dislike about lower quantization is quality degradation. In my small experience, i find 7b models dumb (I've only tested Q4KM GGUF), and needed to be provided proper context before moving forward with the constructive conversation (be chat or instruct).
If this issue can be circumvented in lower quantization, I'm all in.
In context of SD, going below fp16 would only make things faster at cost of quality, and I personally like to go in depth with my prompts. For simpler prompts sure, even lighting and turbo are good in that regard.
Haha no. I mean in the context of providing in control, DPO does a better job than FreeU.
https://www.youtube.com/watch?v=mrKk0yYUdnU
The paper mentions it manipulates main net features(B) and skip features(S).
Not sure what the main net features are, but I'm assuming skip features are like clip skip?
Although the paper mentions S didn't do anything, in my tests (sdxl base), it had a tremendous amount of adverse effect on the image generated.
TBH, i enjoy using DPO more than freeU, but I'm curious to learn.
references:
main repo: https://github.com/ChenyangSi/FreeU
https://github.com/lllyasviel/Fooocus/discussions/618
FreeU: Free Lunch in Diffusion U-Net Explained: https://piped.privacydev.net/watch?v=eFmkJ_oEW5s
This official tutorial on HF mentions the unsatisfactory defaults https://huggingface.co/docs/diffusers/v0.22.1/en/using-diffusers/freeu
So I recently switched to ForgeUI and they have plenty of features integrated out of the box.
In the context of FreeU, what exactly B and S are modifying? I spent a whole day trying to wrap my head around their exact functionality. Some say keep B>1 and S<1. Some say it adds sharpness and saturation, and the preset on their github didn't work for me, well atleast with the prompt I was tweaking.
But while I was fiddling around with FreeU, I observed lot of drastic modification in the generated image, which gave me hope that it just might be tool to realign the image in accordance to my prompt.
Forge is wayyy ahead! I got annoyed by poor memory management on 1.8.0 and found Forge. I'm loving it
illustration of a chess game between two rival factions, represented by a queen piece.
An intricate tapestry depicting the epic battle between Greek gods and Titans, complete with fire-breathing dragons, glowing swords, and mountains of rubble,(dramatic lighting,extremely beautiful:1.4),(intricate details,masterpiece,best quality:1.4),realistic, <lora:xl_more_art-full_v1:0.5> <lora:add-detail-xl:1>
Negative prompt: (worst quality,greyscale),watermark,username,signature,text,bad anatomy,bad hands,text,error,missing fingers,extra digit,fewer digits,cropped,jpeg artifacts,bad feet,extra fingers,mutated hands,poorly drawn hands,bad proportions,extra limbs,disfigured,bad anatomy,gross proportions,malformed limbs,missing arms,missing legs,extra arms,extra legs,mutated hands,fused fingers,too many fingers,long neck,EasyNegativeV2-SDXL,
Steps: 50, Sampler: DPM++ 2M Karras, CFG scale: 2, Seed: 1537240075, Size: 1024x1024, Model hash: 4765db9b01, Model: devlishphotorealism_sdxl15, VAE hash: 95f26a5ab0, VAE: sdxl-vae-fp16-fix.safetensors, RNG: NV, Lora hashes: "xl_more_art-full_v1: fe3b4816be83, add-detail-xl: 9c783c8ce46c", Version: v1.7.0
