Txt2img on anotherjesse.com

Proteus

Sun, 03 Mar 2024 00:00:00 +0000

Parti Prompt Disclaimer

Many of these prompts are challenging for current generative imagery models. Compare: 253 “a motorcycle” vs 999 “a black background with a large yellow square”.

Drag the slider (or type a number between 0 and 1632) to change the prompt. Additionally, you can click any image to see the full-size verison.

Playground V2.5

Tue, 27 Feb 2024 00:00:00 +0000

Note

I’m Still rendering Parti Prompt with Playground … this is a preview

Parti Prompt Disclaimer

Many of these prompts are challenging for current generative imagery models. Compare: 253 “a motorcycle” vs 999 “a black background with a large yellow square”.

Drag the slider (or type a number between 0 and 1632) to change the prompt. Additionally, you can click any image to see the full-size verison.

SDXL lightning

Wed, 21 Feb 2024 00:00:00 +0000

Today ByteDance released SDXL Lightning (adding to the family of distilled/faster SDXL versions Turbo, LCM). From the paper, we can improvements in the quality and how close it matches SDXL.

Exploring Parti Prompts

I recently rendered SDXL as part of parti prompts, and Lightning is quick - let’s make it easy to compare.

Below, each row is a different (initial noise) seed, whereas columns are different models (SDXL, Lightning 1 step, …)

Parti Prompts

Mon, 19 Feb 2024 00:00:00 +0000

Stable Cascade

SDXL

SDXL images were generated with 25 steps using the FP16 variant

The Stable Cascade 2 Step

Sun, 18 Feb 2024 00:00:00 +0000

Stabilty AI has shared an early release of Stable Cascade (built upon Würstchen). Whereas Stable Diffusion uses a single UNet followed by a VAE, this model uses 2 UNets - resulting in improvements in inference time and training resources.

Kandinksy 3

Wed, 22 Nov 2023 00:00:00 +0000

Kandinsky 3 is the latest from the team that brought previous versions of the model.

We conducted a lot of experiments on choosing an architecture and did a lot of work with data to make text understanding and generation quality better, and the architecture itself simpler and more concise. We also made our model more “domestic”: now it is much better oriented in the Russian and Soviet cultural field.