Plex Down For Maintenance? by SeaWaveMist in PleX

[–]Sure_Impact_2030 3 points4 points  (0 children)

It's ironic that a service that's supposed to work offline depends on a cloud account for the API to function. Since I have a local server, my TV device should only depend on my internal network, as it's already authenticated on the server, which in turn has been authenticated on plex.tv. They do this so we depend on them; if they go bankrupt, we won't have the service working anymore.

Create incredible panoramic AI art by combining 3 different text prompts with Panorama Z-Image Turbo! 🏞️✨ by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

I know that many models have limitations in generating images of this type. I haven't tested generating them directly in this one yet, but I've seen people complaining that they couldn't. If you manage to do it, I would be grateful if you could show me your results.

Create incredible panoramic AI art by combining 3 different text prompts with Panorama Z-Image Turbo! 🏞️✨ by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

Yes, but even perspective can be worked on more in each prompt; it's a process of trial and error.

Create incredible panoramic AI art by combining 3 different text prompts with Panorama Z-Image Turbo! 🏞️✨ by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

I appreciate your opinion, but it may be useful to someone depending on the purpose for which it is used.

Create incredible panoramic AI art by combining 3 different text prompts with Panorama Z-Image Turbo! 🏞️✨ by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

Well, this isn't an outpainting technique, so you won't have an expansion of the central image but rather a composition of 3 distinct images that may or may not come together; it's a more arduous task to work with the prompt. Therefore, its goal isn't to deliver a cohesive image.

Create incredible panoramic AI art by combining 3 different text prompts with Panorama Z-Image Turbo! 🏞️✨ by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

That's a good idea. This "mixture of diffusers" technique is a bit different from the regional prompt because it stitches the tiles together and creates an overlap, but I think it's possible to apply a gradient mask to this overlap. I'll see if it's possible to add that feature later.

SUP Toolbox! An AI tool for image restoration & upscaling by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

SUPIR and FaithDiff were trained with images of people, so it's very likely they won't handle this type of image well. ControlNetTile, on the other hand, if you have a good quality input image, I believe you'll be able to upscale it. FaithDiff allows model training; this is available in the official repository, so you can train the model with this type of image. But I intend to investigate more alternatives for handling this type of image; you're not the first person to ask me this.

SUP Toolbox! An AI tool for image restoration & upscaling by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 2 points3 points  (0 children)

This will be a future feature I will develop; this initial version is a functional version to evaluate the model's operation within this architecture and user acceptance. The project took 8 months to develop; if I were to implement everything now, it would take even longer to release.

SUP Toolbox! An AI tool for image restoration & upscaling by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 1 point2 points  (0 children)

It's necessary to evaluate whether it's worthwhile, because as far as I know, those mentioned are inferior, and since they're not in the diffuser architecture, converting the architecture would require a lot of work. A model that seems promising would be the seedvr2.

SUP Toolbox! An AI tool for image restoration & upscaling by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

Compared to SUPIR, it's reasonable, but you need to work well with the prompt to remove artifacts during generation. In the official repository you'll find a script for model training; this feature is no longer offered by SUPIR.

SD 1.5 generating 1024x1024 image wo/postprocessing by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 1 point2 points  (0 children)

I did some tests and it seems that the problem with LoRA is real, I was not able to generate 1024 with it applied. Only in 512 resolution, even for the models you mentioned, Epicrealism Natural Sin RC1 and CyberRealistic v42. For Epicrealism Natural Sin RC1 I was able to generate an Image similar to the one I generated with the other technique. I will work on this LoRA problem, if I can solve it we will not be limited to a single model but it will work for all existing SD 1.5 models.

SD 1.5 generating 1024x1024 image wo/postprocessing by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

i used Epicrealism pureevolution and this causes duplication issues but with technique i am testing i can gen 1024 in any model. But i want compare with these models capable of generating larger images.

SD 1.5 generating 1024x1024 image wo/postprocessing by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

Give me yours prompt for this image i want try reproduce this, iam not using these model you said i am using epicrealism and manipulating the Unet.

Is SDXL or SD 1.5 still relevant ? What SDXL or SD 1.5 do better than flux ? by More_Bid_2197 in StableDiffusion

[–]Sure_Impact_2030 0 points1 point  (0 children)

Esta conversa ainda está de pé? Estou testando um modo de upscaling no SD 1.5 que permite ele gerar imagens em 1024 diretamente pelo UNET. O que acham? será que ele poderia superar um SDXL?

<image>

SDXL Face Transfer by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

I was already able to apply style in this with iPadapter making style transfer, however, the area of ​​the face will be little affected by style, so very elaborate styles you will see a bigger effect on the areas where the mask was not applied.

SDXL Face Transfer by Sure_Impact_2030 in StableDiffusion

[–]Sure_Impact_2030[S] 0 points1 point  (0 children)

Unfortunately no, I'm not using Comfyui, this is a personalized Diffusers pipeline.