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ddpm-ema-anime-256
mrm8488/ddpm-ema-anime-256
ddpm-ema-anime-256 is a machine learning model from mrm8488. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- Jul 29, 2022
- Updated
- Aug 11, 2022
- SHA
- 4da29ad3
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
ddpm-ema-anime-256
Model description
This diffusion model is trained with the 🤗 Diffusers library
on the huggan/selfie2anime dataset.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations 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
- train_batch_size: 8
- eval_batch_size: 16
- gradient_accumulation_steps: 1
- optimizer: AdamW with betas=(0.95, 0.999), weight_decay=1e-06 and epsilon=1e-08
- lr_scheduler: cosine
- lr_warmup_steps: 500
- ema_inv_gamma: 1.0
- ema_inv_gamma: 0.75
- ema_inv_gamma: 0.9999
- mixed_precision: fp16
Training results
Created by Manuel Romero/@mrm8488 with the support of Q Blocks
- Library
- diffusers
- License
- apache-2.0
- Languages
- en
- Created
- Jul 29, 2022
- Updated
- Aug 11, 2022