Type | |
Stats | 813 3,142 265 |
Reviews | (99) |
Published | Aug 11, 2023 |
Base Model | |
Training | Steps: 1,100 |
Trigger Words | duo selfie pose next to each other in the background |
Hash | AutoV2 B83A588CC8 |
❤ Please post any images made with this model here for further improvement of the dataset ❤
Prompt Format:
duo selfie pose, two <men/women/things> next to each other, a <thing> in the background
Optional tags include:
<happy/shocked/excited> expressions, open mouth, pointing to the side, selfie pose
Versions:
v14 (Recommended): U-Net only; Much more flexible prompting by training with a known similar concept (duo selfie pose).
v5 (Previously Recommended): U-Net only; Improved dataset captioning for more flexible prompting. It's still kind of finicky but it's an improvement.
v8e (Experimental): Text Encoder + U-Net; Trained for fewer steps with a higher weight decay (0.02). Adjust the individual weights of the Text Encoders and U-Net if you don't get the pointing.
v4: U-Net only; Initial release, tends to produce women wearing lots of neck jewelry
Prompting for older versions:
Prompt format:
two <men/women/things> pointing at <something>, the <man/woman/thing> on the right is pointing at <something>, the <man/woman/thing>on the left is surprised
If you're having trouble getting the arm to point, try adding tags like "pointing a finger", "fingerless gloves", etc.