Model description

This model has been fine-tuned to learn the concept of Minecraft by ChienVM on this dataset

Intended uses & limitations

Concept token "mrf style". Example: "a photo of landscape in mrf style" This model only finetunes with the landscape image in Minecraft world. Therefore, it can not generate good iamges with other concepts.

Some examples prompt

Sample 1
Prompt: a fishing village under a cherry blossom forest at sunset in mrf style. Negative prompt: bad anatomy, soft blurry. Steps: 50, CFG scale: 7.5, Size: 512x12
Sample 2
Prompt: a photo of landscape in mrf style. Negative prompt: bad anatomy, soft blurry. Steps: 50, CFG scale: 7.5, Size: 512x12

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
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Inference Examples
Inference API (serverless) does not yet support tf-keras models for this pipeline type.

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