YaYaB/sd-onepiece-diffusers4
1170
<!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. -->
sd-onepiece-diffusers4
Model description
This diffusion model is trained with the ๐ค Diffusers library on the YaYaB/onepiece-blip-captions dataset.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipelineLimitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training data
[TODO: describe the data used to train the model]
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- trainbatchsize: 1
- evalbatchsize: 1
- gradientaccumulationsteps: 4
- optimizer: AdamW with betas=(0.9, 0.999), weight_decay=0.01 and epsilon=1e-08
- lr_scheduler: constant
- lrwarmupsteps: 500
- emainvgamma: None
- emainvgamma: None
- emainvgamma: None
- mixed_precision: fp16
Training results
๐ TensorBoard logs
