Model description
This model has been fine-tuned to learn the concept of Akita Dog from Japan by ChienVM on this dataset
Intended uses & limitations
Concept token "akt## dog". Example: "a photo of akt## dog"
Some examples prompt
<figure> <img src="https://huggingface.co/vumichien/dreambooth_diffusion_akitainu/resolve/main/demo_01.png" alt="Sample 1"> <figcaption>Prompt: akt## dog as an anime character in overwatch Negative prompt: (bad anatomy), (blurry) Steps: 100, CFG scale: 12, Size: 512x12 </figcaption> </figure>
<figure> <img src="https://huggingface.co/vumichien/dreambooth_diffusion_akitainu/resolve/main/demo_02.png" alt="Sample 2"> <figcaption>Prompt:akt## dog as a realistic fantasy knight, closeup portrait art by donato giancola and greg rutkowski, digital art, trending on artstation Negative prompt: (bad anatomy), (blurry), ugly Steps: 100, CFG scale: 12, Size: 512x12 </figcaption> </figure>
<figure> <img src="https://huggingface.co/vumichien/dreambooth_diffusion_akitainu/resolve/main/demo_03.png" alt="Sample 3"> <figcaption>Prompt:Cute and adorable cartoon fluffy akt## dog with cap, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation Negative prompt: (bad anatomy), (blurry), ugly Steps: 100, CFG scale: 12, 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 |