Predecessor market: /Mira/will-i-succeed-in-training-a-stable
Character:
![](https://firebasestorage.googleapis.com/v0/b/mantic-markets.appspot.com/o/user-images%2Fdefault%2FP6vUDkJNcb.jpg?alt=media&token=2029414c-8bea-47bd-bd4b-34ebbb07e1af)
I'm changing my training and judging process this time. Improving the image tagging, adding DALL-E samples to the training data, using multiple checkpoints to generate more training data in later-stage models, etc.
For judging, GPT-4 with DALL-E will be asked to generate 10 prompts(since it has been trained to write prompts). For each prompt I will give GPT-4V this market description; and a single image canvas containing 1. a reference image of Satania, 2. an output from an existing model(probably NovelAI or the most popular SD 1.5 lora on Civitai), and 3. an output from my model. The 3 images will be labeled "reference", "A", and "B" with the order of outputs randomized.
Then, it will use this grading rubric it wrote:
If 7/10 prompts it deems my model "higher quality", then this market resolves YES. Otherwise, resolves NO.
If I don't finish my Satania model on time, resolves NO.
If GPT-4V is not available to me, I will wait up to 2 weeks and then resolve N/A.
I will buy and sell YES on this market but will not take a net-NO position(or will immediately sell if I accidentally do).