Upgraded from 12GB VRAM to RTX 5090 + 64GB RAM — what are the highest quality AI image/video models I can realistically run now?
I just upgraded from a pretty limited setup (12GB VRAM where I mostly had to use heavily quantized models, low VRAM workflows, FP8/Q8 stuff, etc.) to an RTX 5090 + 64GB RAM setup and I’m trying to understand what level of AI models/workflows I can actually run now.
Before this I was constantly optimizing around VRAM limits, using smaller checkpoints, aggressive quantization, tiled VAE, low batch sizes, etc. So I honestly don’t know what the “top tier” local experience looks like yet.
Mainly interested in:
Highest quality image generation models
Best realism/detail models
Video generation models
What models actually benefit from full FP16/BF16 now
Whether larger transformers are worth it vs quantized versions
Best workflows in ComfyUI/Wan/LTX/Qwen/Flux/etc
Models that were basically impossible on 12GB VRAM but become practical on a 5090
What are people with 5090/4090-class cards actually using right now for the best quality possible locally?
Which models should always be run FP16/BF16 instead of quantized?
What resolutions/frame counts become realistic now?
Are there any “hidden gem” workflows/models that really scale with high VRAM?
Would love recommendations for both:
Best image generation stack
Best video generation stack
Thanks 🙏
https://redd.it/1tq9ld4
@rStableDiffusion
I just upgraded from a pretty limited setup (12GB VRAM where I mostly had to use heavily quantized models, low VRAM workflows, FP8/Q8 stuff, etc.) to an RTX 5090 + 64GB RAM setup and I’m trying to understand what level of AI models/workflows I can actually run now.
Before this I was constantly optimizing around VRAM limits, using smaller checkpoints, aggressive quantization, tiled VAE, low batch sizes, etc. So I honestly don’t know what the “top tier” local experience looks like yet.
Mainly interested in:
Highest quality image generation models
Best realism/detail models
Video generation models
What models actually benefit from full FP16/BF16 now
Whether larger transformers are worth it vs quantized versions
Best workflows in ComfyUI/Wan/LTX/Qwen/Flux/etc
Models that were basically impossible on 12GB VRAM but become practical on a 5090
What are people with 5090/4090-class cards actually using right now for the best quality possible locally?
Which models should always be run FP16/BF16 instead of quantized?
What resolutions/frame counts become realistic now?
Are there any “hidden gem” workflows/models that really scale with high VRAM?
Would love recommendations for both:
Best image generation stack
Best video generation stack
Thanks 🙏
https://redd.it/1tq9ld4
@rStableDiffusion
Reddit
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NoobAI models reccomendations...
It's my first time trying to use NoobAI since i have been using illustrious for years now
but im not sure which one to start with
i found this one and I wonder if its good?
https://civitai.com/models/2167995
also im assuming the V-pred models are better, yes?
https://redd.it/1tqdt8g
@rStableDiffusion
It's my first time trying to use NoobAI since i have been using illustrious for years now
but im not sure which one to start with
i found this one and I wonder if its good?
https://civitai.com/models/2167995
also im assuming the V-pred models are better, yes?
https://redd.it/1tqdt8g
@rStableDiffusion
Civitai
Chenkin Noob XL (CKXL) - v0.5 | NoobAI Checkpoint | Civitai
Model Introduction Model Details Developed by : ChenkinNoob team Model Type : Diffusion-based text-to-image generative model Fine-tuned from : Laxh...
The Essential Calvin & Hobbes - FLUX.2 Klein 9b Base -> 4x upscaler
https://redd.it/1tqhdxm
@rStableDiffusion
https://redd.it/1tqhdxm
@rStableDiffusion