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