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