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puggieace concept trained by nielsgl on the nielsgl/dreambooth-ace dataset.instance_prompt: a photo of puggieacedog images for the nature theme.1from huggingface_hub import from_pretrained_keras
2import keras_cv
3import matplotlib.pyplot as plt
4
5
6model = keras_cv.models.StableDiffusionV2(img_width=512, img_height=512, jit_compile=True)
7model._diffusion_model = from_pretrained_keras(nielsgl/dreambooth-pug-ace-sd2.1-base)
8model._text_encoder = from_pretrained_keras(nielsgl/dreambooth-pug-ace-sd2.1-base-text-encoder)
9
10images = model.text_to_image("a photo of puggieace dog on the beach", batch_size=3)
11plt.imshow(image[0])| Hyperparameters | Value |
|---|---|
| name | RMSprop |
| weight_decay | None |
| clipnorm | None |
| global_clipnorm | None |
| clipvalue | None |
| use_ema | False |
| ema_momentum | 0.99 |
| ema_overwrite_frequency | 100 |
| jit_compile | True |
| is_legacy_optimizer | False |
| learning_rate | 0.0010000000474974513 |
| rho | 0.9 |
| momentum | 0.0 |
| epsilon | 1e-07 |
| centered | False |
| training_precision | float32 |