Commit Graph

3 Commits

Author SHA1 Message Date
Patrick von Platen a7ca03aa85
Replace flake8 with ruff and update black (#2279)
* before running make style

* remove left overs from flake8

* finish

* make fix-copies

* final fix

* more fixes
2023-02-07 23:46:23 +01:00
Will Berman f1fcfdeec5
vq diffusion classifier free sampling (#1294)
* vq diffusion classifier free sampling

* correct

* uP

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
2022-11-16 17:51:43 +01:00
Will Berman ef2ea33c3b
VQ-diffusion (#658)
* Changes for VQ-diffusion VQVAE

Add specify dimension of embeddings to VQModel:
`VQModel` will by default set the dimension of embeddings to the number
of latent channels. The VQ-diffusion VQVAE has a smaller
embedding dimension, 128, than number of latent channels, 256.

Add AttnDownEncoderBlock2D and AttnUpDecoderBlock2D to the up and down
unet block helpers. VQ-diffusion's VQVAE uses those two block types.

* Changes for VQ-diffusion transformer

Modify attention.py so SpatialTransformer can be used for
VQ-diffusion's transformer.

SpatialTransformer:
- Can now operate over discrete inputs (classes of vector embeddings) as well as continuous.
- `in_channels` was made optional in the constructor so two locations where it was passed as a positional arg were moved to kwargs
- modified forward pass to take optional timestep embeddings

ImagePositionalEmbeddings:
- added to provide positional embeddings to discrete inputs for latent pixels

BasicTransformerBlock:
- norm layers were made configurable so that the VQ-diffusion could use AdaLayerNorm with timestep embeddings
- modified forward pass to take optional timestep embeddings

CrossAttention:
- now may optionally take a bias parameter for its query, key, and value linear layers

FeedForward:
- Internal layers are now configurable

ApproximateGELU:
- Activation function in VQ-diffusion's feedforward layer

AdaLayerNorm:
- Norm layer modified to incorporate timestep embeddings

* Add VQ-diffusion scheduler

* Add VQ-diffusion pipeline

* Add VQ-diffusion convert script to diffusers

* Add VQ-diffusion dummy objects

* Add VQ-diffusion markdown docs

* Add VQ-diffusion tests

* some renaming

* some fixes

* more renaming

* correct

* fix typo

* correct weights

* finalize

* fix tests

* Apply suggestions from code review

Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>

* Apply suggestions from code review

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* finish

* finish

* up

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Anton Lozhkov <aglozhkov@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
2022-11-03 16:10:28 +01:00