Type | |
Stats | 253 |
Reviews | (29) |
Published | Mar 1, 2024 |
Base Model | |
Training | Steps: 4,800 Epochs: 299 |
Trigger Words | Beyonce1_512-4800 |
Hash | AutoV2 52D7741327 |
Pre Training
I gathered 50 images of Beyonce. Photos were gathered from Wallpapers. Some of the images were full body as I wanted to retain her face even when zoomed out. I used Blip captioning to generate the filewords and edited each individually to reduce potential hallucinations. I added a 1 to the end of Hayek on the embedding name to ensure there is no mixing with previously trained images of her.
Training
I used 0.005:100:0,0.0025:250,0.001:500,0.0005:1000,0.00025 for my learning rate. I am going for 5K training steps total. I am using a batch size of 1 with Gradient Accumulation Steps set to 3. I am running on a RTX 4090 on the cloud. I am using 12.5 out of 24 GB. The estimated time of completion is 1 hour. For the embedding I am using 8 vectors per token. I switched to SD 1.5 EMA Only model for training.