Model description
Model description
This model has been fine-tuned to learn the concept of Hokusai artist by ChienVM on this dataset
Intended uses & limitations
Concept token "hks## style". Example: "a photo of painting image in hks## style"
Some examples prompt
<figure> <img src="https://huggingface.co/keras-dreambooth/dreambooth_diffusion_hokusai/resolve/main/image_01.png" alt="Sample 1"> <figcaption>Prompt: a painting image of a fishing village under a cherry blossom forest at sunset in hks## style, ultra realistic, 4k, 8k. Negative prompt: bad anatomy, soft blurry. Steps: 100, CFG scale: 15, Size: 512x12 </figcaption> </figure>
<figure> <img src="https://huggingface.co/keras-dreambooth/dreambooth_diffusion_hokusai/resolve/main/image_02.png" alt="Sample 2"> <figcaption>Prompt: a beautiful and highly detailed oil painting of a lost valley in the mountains in hks## style, running river, intricate details, 8k, sharp focus, hyper realism. Negative prompt: (bad anatomy), (blurry), grain. Steps: 100, CFG scale: 15, Size: 512x12 </figcaption> </figure>
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
Hyperparameters | Value |
---|---|
inner_optimizer.class_name | Custom>RMSprop |
inner_optimizer.config.name | RMSprop |
inner_optimizer.config.weight_decay | None |
inner_optimizer.config.clipnorm | None |
inner_optimizer.config.global_clipnorm | None |
inner_optimizer.config.clipvalue | None |
inner_optimizer.config.use_ema | False |
inner_optimizer.config.ema_momentum | 0.99 |
inner_optimizer.config.ema_overwrite_frequency | 100 |
inner_optimizer.config.jit_compile | True |
inner_optimizer.config.is_legacy_optimizer | False |
inner_optimizer.config.learning_rate | 0.0010000000474974513 |
inner_optimizer.config.rho | 0.9 |
inner_optimizer.config.momentum | 0.0 |
inner_optimizer.config.epsilon | 1e-07 |
inner_optimizer.config.centered | False |
dynamic | True |
initial_scale | 32768.0 |
dynamic_growth_steps | 2000 |
training_precision | mixed_float16 |