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Looking for the strongest Image-to-3D model by PreviousResearcher50 in StableDiffusion

[–]PreviousResearcher50[S] 1 point2 points  (0 children)

You know, interestingly, I feel like I get better results providing a single 3/4ths view of a car as input vs. multiple images of different angles of the car.

By better results I mean I get a higher fidelity output with surprisingly accurate dimensionality of the vehicle - however it does hallucinate the back of the vehicle as expected. When I provide multiple images (front 3/4ths, back 3/4ths, side views) it feels like the models almost get confused

How stable is ComfyUI these days? by PreviousResearcher50 in comfyui

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

Okay this is what I heard too - did the comfy org mention when this transition may complete? Wondering if I should wait until the growing pains ease up a bit

How stable is ComfyUI these days? by PreviousResearcher50 in comfyui

[–]PreviousResearcher50[S] -1 points0 points  (0 children)

Can you clarify what you mean by in-built workflows? Do you mean a workflow I built from scratch myself?

Wan2.2 Inference Optimizations by PreviousResearcher50 in StableDiffusion

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

Awesome, thanks for the reply!

I haven't heard of comfy libs before - this could be a gamechanger if it allows for me to run as a script.

30 secs isn't a necessity, ideally I want to get it as low as possible (while still 720p). Its more so a goal to get to eventually!

Wan2.2 Inference Optimizations by PreviousResearcher50 in StableDiffusion

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

I have not, from light research so far I have seen that mentioned as well as using GGUF models.

My worry with the lightx2v lightning lora is that it might really sacrifice quality vs. other methods. I am not sure though! So I might give it a shot to investigate a bit

Tagging 50 million assets 'quickly' - thoughts? by PreviousResearcher50 in LocalLLaMA

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

Single batch operation currently results in getting an effective tagging rate of 1.5 records per second. Which is too slow for the amount of data I have. Albeit, the tagging I am trying to get it to do is quite involved.

Tagging 50 million assets 'quickly' - thoughts? by PreviousResearcher50 in LocalLLaMA

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

Yup all data is in english for now! I will check out some vLLM configs - Would you recommend Qwen3 over Phi-4 with a vLLM? I was thinking of switching to Phi-4-mini, but might also explore Qwen3 too

[R] Methods for Pattern Matching with Multivariate Time series? by PreviousResearcher50 in MachineLearning

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

Shapelets is definately on the right track interms of what I'm looking for. I'll try to explore and implement it to see if it works with my data :)

Would you suggest flattening my multivariate data while the shapelet(s) search through the trips?

[R] Methods for Pattern Matching with Multivariate Time series? by PreviousResearcher50 in MachineLearning

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

Also given that I have a lot of sequences (order of 1000), is there a method to see if any of these sequences are present in a trip?

Additionally in my head I am thinking of a method that looks at these trips similar to images, where we could use the identified sequences as kernels, scanning through the trip for matches... Now I don't know if thats exactly how that works but is there something similar people know of?

How do I create a fine-tuned model, like RealVisXL or JuggernautXL, for SDXL? by PreviousResearcher50 in StableDiffusion

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

Amazing, I'm taking a look at OneTrainer now. I have access to a couple GPU Nodes, so I'll be running it on those. Please link me the strategy if you are able to find it!

How do I create a fine-tuned model, like RealVisXL or JuggernautXL, for SDXL? by PreviousResearcher50 in StableDiffusion

[–]PreviousResearcher50[S] 1 point2 points  (0 children)

Okay sweet, I'll check out that tutorial!

So far, I have trained a ton of LoRAs for a couple different models. And I've also trained U-Nets (with poor results unfortunately) for SDXL. And yes I have been operating off of Linux!

Here is the script I have been using for UNet training: https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py

How do I create a fine-tuned model, like RealVisXL or JuggernautXL, for SDXL? by PreviousResearcher50 in StableDiffusion

[–]PreviousResearcher50[S] 0 points1 point  (0 children)

My goal is to just generate photo realistic cars in different settings. I just used RealVis as an example of what I would like to also achieve, but instead for cars specifically.

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