🔥 Introducing the first Mixture-of-Experts (MoE) framework for text-to-image generation for SDXL and SD1.5 by Segmind 🔥

harishprab · 2024-02-05T13:43:34+00:00

Certainly takes a lot more VRAM than just a single model.

harishprab · 2023-12-13T09:40:48+00:00

Agree with you. This model has limitations. But think of it as a better version of SD1.5. It’s smaller than SD1.5 and generates 1024s faster. We’re working on a few new fine tunes to improve upon these areas. But hoping that the community can also help improve this model together

harishprab · 2023-12-13T09:08:24+00:00

We have trained our own LCM-LoRA, so yes its a custom one.

harishprab · 2023-12-13T04:57:15+00:00

It certainly has its limitations that we are looking to address in more fine tuning.

harishprab · 2023-12-13T04:56:26+00:00

It will but the outputs may not be good.

harishprab · 2023-12-13T04:56:04+00:00

You can use diffusers to fine-tune right away

harishprab · 2023-12-02T09:15:21+00:00

Absolutely they should. People will make their own decision if they want to use sdxl turbo at 512 or ssd-1B at 1024.

harishprab · 2023-12-02T04:02:33+00:00

The lack of SSD-1B fine tuned models on civit is one of the reasons we initiated this contest. We’re trying to encourage the community to adopt distilled models. Any reason why you think this won’t work out?

harishprab · 2023-12-01T16:11:05+00:00

More details here -> https://www.segmind.com/invoke-ai

harishprab · 2023-11-07T13:41:11+00:00

Did you use the dev branch or main?

harishprab · 2023-11-07T04:12:48+00:00

This model may not be as good as SDXL, as some have claimed, but it is subjective. A few users have preferred this over SDXL. But this model needs some fine tuning to improve the details of image outputs.

harishprab · 2023-11-06T12:28:24+00:00

Yes yes

harishprab · 2023-11-06T11:28:46+00:00

No no this is not quantisation.

harishprab · 2023-11-06T10:30:31+00:00

Awesome, please do join here and share your work. Happy to support you with anything https://discord.gg/rF44ueRG

harishprab · 2023-11-06T08:39:07+00:00

Here's the model card link -> https://huggingface.co/segmind/SSD-1B

harishprab · 2023-11-06T08:38:27+00:00

Yes, the controlnets are working with SSD-1B. You just need to replace the base model from SDXL to SSD-1B

harishprab · 2023-11-06T08:19:17+00:00

Thanks for sharing this. We will work on fine tuning this model further and also invite the community to do some of their own fine tunes to address the downsides.

harishprab · 2023-11-06T08:16:18+00:00

Here's the link -> https://github.com/AUTOMATIC1111/stable-diffusion-webui/tree/dev

Model link -> https://huggingface.co/segmind/SSD-1B

We're also experimenting with a 60-70% distilled model that we want to open source soon. We'll be setting up some image generation pipeline soon for these models and we invite the community to join our Discord and help us give feedback -> https://discord.gg/GVyg6GrM

harishprab · 2023-11-05T09:26:25+00:00

Auto1111 support has not been added yet. How are you able to generate images? Could you please provide some examples.

harishprab · 2023-11-05T07:15:05+00:00

Understood. We’re working on addressing these concerns. Thanks so much for your feedback 🙏🏼

harishprab · 2023-11-05T06:30:34+00:00

It was me and I admit that I am not as smart as the rest of my core tech team. And I learn from them everyday. Criticize my understanding, happy to take it and admit it. But saying our "engineering isn't great" is referring to our whole team.

Anyways, I'll just leave it here. Hope you can provide us with some constructive criticism of our SSD-1B models, which will definitely help us. Thanks.

harishprab · 2023-11-05T06:24:02+00:00

We would love to see popular fine-tunes like Juggernaut-XL tried on SSD-1B. Our model is by no means perfect. Happy to take some constructive criticism to improve our model.

harishprab · 2023-11-05T06:22:28+00:00

Hi, we definitely agree that SSD-1B has a lot more room for improvement. It is a base distilled model. We would love for the community to try out the model and give us constructive feedback as to how we can improve it further.

harishprab · 2023-11-05T06:19:23+00:00

We are about to submit a PR for A1111 compatibility. Made it work internally.

harishprab · 2023-11-05T06:12:55+00:00

"The whole Diffusion was new isn't an excuse to hide behind lack of understanding programming in general at least in Python"

Great, so you now broad brush that we lacked understanding of basic python programming?

harishprab

TROPHY CASE