The average ComfyUI experience when downloading a new workflow
https://redd.it/1oqwj6t
@rStableDiffusion
https://redd.it/1oqwj6t
@rStableDiffusion
AMD Nitro-E: Not s/it, not it/s, it's Images per Second - Good fine-tuning candidate?
https://redd.it/1oqvyyd
@rStableDiffusion
https://redd.it/1oqvyyd
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit: AMD Nitro-E: Not s/it, not it/s, it's Images per Second - Good fine-tuning candidate?
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Nvidia cosmos 2.5 models released
Hi!
It seems NVIDIA released some new open models very recently, a 2.5 version of its Cosmos models, which seemingly went under the radar.
https://github.com/nvidia-cosmos/cosmos-predict2.5?tab=readme-ov-file
https://github.com/nvidia-cosmos/cosmos-transfer2.5
Has anyone played with them? They look interesting for certain usecases.
EDIT: Yes, it generates or restyles video, more examples:
https://github.com/nvidia-cosmos/cosmos-predict2.5/blob/main/docs/inference.md
https://github.com/nvidia-cosmos/cosmos-transfer2.5/blob/main/docs/inference.md
https://redd.it/1oqz2xy
@rStableDiffusion
Hi!
It seems NVIDIA released some new open models very recently, a 2.5 version of its Cosmos models, which seemingly went under the radar.
https://github.com/nvidia-cosmos/cosmos-predict2.5?tab=readme-ov-file
https://github.com/nvidia-cosmos/cosmos-transfer2.5
Has anyone played with them? They look interesting for certain usecases.
EDIT: Yes, it generates or restyles video, more examples:
https://github.com/nvidia-cosmos/cosmos-predict2.5/blob/main/docs/inference.md
https://github.com/nvidia-cosmos/cosmos-transfer2.5/blob/main/docs/inference.md
https://redd.it/1oqz2xy
@rStableDiffusion
GitHub
GitHub - nvidia-cosmos/cosmos-predict2.5: Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family…
Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video. - nvidia-cos...
Outdated info on the state of ROCM on this subreddit - ROCm 7 benchmarks compared to older ROCm/Zluda results from a popular old benchmark
So I created a thread complaining about the speed of my 9070 and asked for help with choosing a new Nvidia card. A few people had good intentions but they shared out of date benchmarks using a very old version of ROCm to test AMD GPUs.
The numbers in these benchmarks seemed a bit low, so I decided to replicate the results as best as I could comparing my 9070 to the results from this benchmark:
https://chimolog.co/bto-gpu-stable-diffusion-specs/#832%C3%971216%EF%BC%9AQwenImageQ3%E3%83%99%E3%83%B3%E3%83%81%E3%83%9E%E3%83%BC%E3%82%AF
Here are the numbers I got for Sd1.5 and SDXL, getting them as close as I could to the prompts/settings used in the benchmark above:
SD1.5 512 10 batch 28 steps
- Old 9070 benchmark results 30 seconds
- New rocm 7 9070 13 seconds
On the old benchmark results, this puts it just behind 4070. Further comparison showed the following results for the following GPUs in the old benchmark:
- 8 seconds on 5070ti
- 6.6 seconds on 5080
SDXL 832x2316 28 steps
- Old 9070 benchmark 18.5 seconds
- New rocm 7 9070 7.74 seconds
On the old benchmark results, it's once again just behind 4070. Further comparison showed the following results for the following GPUs in the old benchmark:
- 4.7 seconds on 5070ti
- 3.8 seconds on 5080
Now don't get me wrong, Nvidia is still faster, but, at least for these models, it's not the shit show it used to be.
Also, it's made it clear to me that if I want a far more noticeable performance improvement, I should be aiming for at least the 5080, not the 5070ti, since the difference is about 40% between the 9070 and the 5070ti Vs almost 100% difference between the 9070 and 5080.
Yes, Nvidia is the king and is what people should buy if they're serious about image generation workloads, but AMD isn't as terrible as it once was.
Also, if you have an AMD card and don't mind figuring out Linux, you can get some decent results that are comparable with some of Nvidia older upper mid range cards.
Tldr: AMD have made big strides in improving their drivers/software for image generation. Nvidia still the best though.
https://redd.it/1or6mvu
@rStableDiffusion
So I created a thread complaining about the speed of my 9070 and asked for help with choosing a new Nvidia card. A few people had good intentions but they shared out of date benchmarks using a very old version of ROCm to test AMD GPUs.
The numbers in these benchmarks seemed a bit low, so I decided to replicate the results as best as I could comparing my 9070 to the results from this benchmark:
https://chimolog.co/bto-gpu-stable-diffusion-specs/#832%C3%971216%EF%BC%9AQwenImageQ3%E3%83%99%E3%83%B3%E3%83%81%E3%83%9E%E3%83%BC%E3%82%AF
Here are the numbers I got for Sd1.5 and SDXL, getting them as close as I could to the prompts/settings used in the benchmark above:
SD1.5 512 10 batch 28 steps
- Old 9070 benchmark results 30 seconds
- New rocm 7 9070 13 seconds
On the old benchmark results, this puts it just behind 4070. Further comparison showed the following results for the following GPUs in the old benchmark:
- 8 seconds on 5070ti
- 6.6 seconds on 5080
SDXL 832x2316 28 steps
- Old 9070 benchmark 18.5 seconds
- New rocm 7 9070 7.74 seconds
On the old benchmark results, it's once again just behind 4070. Further comparison showed the following results for the following GPUs in the old benchmark:
- 4.7 seconds on 5070ti
- 3.8 seconds on 5080
Now don't get me wrong, Nvidia is still faster, but, at least for these models, it's not the shit show it used to be.
Also, it's made it clear to me that if I want a far more noticeable performance improvement, I should be aiming for at least the 5080, not the 5070ti, since the difference is about 40% between the 9070 and the 5070ti Vs almost 100% difference between the 9070 and 5080.
Yes, Nvidia is the king and is what people should buy if they're serious about image generation workloads, but AMD isn't as terrible as it once was.
Also, if you have an AMD card and don't mind figuring out Linux, you can get some decent results that are comparable with some of Nvidia older upper mid range cards.
Tldr: AMD have made big strides in improving their drivers/software for image generation. Nvidia still the best though.
https://redd.it/1or6mvu
@rStableDiffusion
ちもろぐ
【Stable Diffusion】AIイラストにおすすめなグラボをガチで検証【GPU別の生成速度】 | ちもろぐ
無制限の生成枚数でAIイラストをガシガシ生成するなら、ローカル環境版のStable Diffusionが必要です。しかし、ローカル版AIイラストは高性能なグラフィックボードも必須・・・ というわけで本記事では、グラフィックボードを40枚ほど所有している筆者が、実際にStable Diffusionを動かしてAI生成におすすめなグラボを徹底検証します。
Qwen Image Base Model Training vs FLUX SRPO Training 20 images comparison (top ones Qwen bottom ones FLUX) - Same Dataset (28 imgs) - I can't return back to FLUX such as massive difference - Oldest comment has prompts and more info - Qwen destroys the FLUX at complex prompts and emotions
https://redd.it/1orabsi
@rStableDiffusion
https://redd.it/1orabsi
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit: Qwen Image Base Model Training vs FLUX SRPO Training 20 images comparison (top ones…
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