I share the same opinion, but also dislike these tests because each system benefits from a different approach to prompting. What I use to get a good result in M

I share the same opinion, but also dislike these tests because each system benefits from a different approach to prompting. What I use to get a good result in MidJourney won't work in StableDiffusion for example. Instead when making these comparisons one needs to set an objective and have people who are familiar with each system to produce their nicest images - since this is a better reflection of the real world usage. For example, ask each participant to read a chapter/page from a book with a lot of specific imagery and then use AI to create what they think that looks like. Regarding image generation in Photoshop I can confirm two things: - It is excellent for in and out painting with a few exceptions* - It remains poor for generating a brand new image *Photoshop's generative fill is very good at extending landscapes, it will match lighting and according to the release video can be smart enough to observe what a reflection should contain even if that is not specifically included in the image (in their launch demo they showed how a reflection pool captured the underside of a vehicle.) Where generative fill falls apart: Inserting new objects that are not well defined produces problems. Choosing something like a VW Beetle will produce a good result as it is well defined, choosing something like "boat", "dragon", or even "pirate's chest": will produce a range of images that do not necessarily fit the scene - this is likely because source imagery for such objects is likely vague and prone to different representations. 1st note about Firefly: Anything that is likely to produce a spherical looking shape tends to be blocked - likely because it resembles certain human anatomy. This is problematic when doing small touch ups such as fixing fingers. A special note about photoshop versus other systems: Photoshop has the added problem of needing to match the resolution of the source material. Currently it achieves this from combining upscaling with resizing - this means that if one is extending an area with high detail, that detail cannot be maintained and instead is softer/blurrier than the original sections. It also means that if one extends directly from the border of an image, then a feathered edge becomes visible which must be corrected by hand. I currently test the following AI generators, feel free to ask me about any of these: StableDiffusion (Automatic and InvokeAI), OpenAI's Dall-E 2, MidJourney, Stability AI's DreamStudio, and Adobe Firefly.