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Here’s my first SD1.5 model. GoldenTrig. The inspiration for this model comes from a prompting strategy I developed for SDXL and my mix HouseOfFreyja. You’ll notice most of my prompts include the following tags “(quality{[intricate_insane_exponential_details_8k_resolution_volumetric_lighting_depth_of_field_FullFrame_36x24mm_Nikon_D850_sensor_grain_texture]}),(composition{[.707_trigonometric_discretization_scalar*1.618033988749895→lighting_angle_quantization_color_reflection_modeling_aesthetic_spacing_principles*scene_structure]}),”. So what I decided to do was find a lot of prompts. I mean a lot. https://huggingface.co/datasets/daspartho/stable-diffusion-prompts. I unpacked the parquet file and got 3.2gb of text worth of prompts. 1.8 millionish. Then I appended those tags to every single one of those prompts. This base mix of this model is (INSERT MIX LIST HERE LATER DUE TO ADHD). This model is the first 10k. I used https://github.com/Nerogar/OneTrainer to train my model using Prodigy and Rex for the optimizer and LR scheduler. Additionally used xformers.
Recommend params:
Schedulers: Euler a, DPM++SDE, DPM++3M SDE, RESTART,
Steps:30-50 (66 for RESTART)
CFG:5-9 (higher CFG=more steps)
Happy generating!!
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