-
Notifications
You must be signed in to change notification settings - Fork 6.1k
Add support for lumina2 #10642
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Merged
Merged
Add support for lumina2 #10642
Changes from all commits
Commits
Show all changes
28 commits
Select commit
Hold shift + click to select a range
43825c4
Add support for lumina2
csuhan 81f47df
Update src/diffusers/models/transformers/transformer_lumina2.py
zhuole1025 66ef8d7
fix LuminaRMSNormZero
csuhan 29fdccd
fix LuminaRMSNormZero
csuhan f64f7e2
refactor refiner
csuhan e26faef
fix bugs and reformat rope into class
csuhan 1ff61fd
fix import normalization
csuhan db6fcf1
fix relateive import
csuhan 03ce674
add a lot of changes
csuhan 975da6a
add tests
csuhan 174077b
make style
a-r-r-o-w de4e41a
Merge branch 'main' into lumina2
a-r-r-o-w 75e5c31
refactor transformer
a-r-r-o-w aeef340
fix import; remove lumina2 integration test
a-r-r-o-w e6f6aae
update docs
a-r-r-o-w e79b716
update tests
a-r-r-o-w cd32a8c
update
a-r-r-o-w 67dabb0
make fix-copies
a-r-r-o-w 4cbb8b9
Merge branch 'main' into lumina2
a-r-r-o-w 3f81149
final small fix
csuhan 4cbc065
'make style' to fix quality test
a-r-r-o-w b11cc60
supports_dduf=False
a-r-r-o-w 565fa0c
fix cfg cpu gpu delay
csuhan c1b0f3d
no expand attn mask, two forward pass
hlky 7c5a46f
use_mask_in_transformer, is_torch_version
hlky ff4bff9
fix use_mask_in_transformer=False
hlky da6fd60
fix
yiyixuxu 9ea9bbe
fix mps
yiyixuxu File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,30 @@ | ||
<!-- Copyright 2024 The HuggingFace Team. All rights reserved. | ||
|
||
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with | ||
the License. You may obtain a copy of the License at | ||
|
||
http://www.apache.org/licenses/LICENSE-2.0 | ||
|
||
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on | ||
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the | ||
specific language governing permissions and limitations under the License. --> | ||
|
||
# Lumina2Transformer2DModel | ||
|
||
A Diffusion Transformer model for 3D video-like data was introduced in [Lumina Image 2.0](https://huggingface.co/Alpha-VLLM/Lumina-Image-2.0) by Alpha-VLLM. | ||
|
||
The model can be loaded with the following code snippet. | ||
|
||
```python | ||
from diffusers import Lumina2Transformer2DModel | ||
|
||
transformer = Lumina2Transformer2DModel.from_pretrained("Alpha-VLLM/Lumina-Image-2.0", subfolder="transformer", torch_dtype=torch.bfloat16) | ||
``` | ||
|
||
## Lumina2Transformer2DModel | ||
|
||
[[autodoc]] Lumina2Transformer2DModel | ||
|
||
## Transformer2DModelOutput | ||
|
||
[[autodoc]] models.modeling_outputs.Transformer2DModelOutput |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,33 @@ | ||
<!-- Copyright 2024 The HuggingFace Team. All rights reserved. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. --> | ||
|
||
# Lumina2 | ||
|
||
[Lumina Image 2.0: A Unified and Efficient Image Generative Model](https://huggingface.co/Alpha-VLLM/Lumina-Image-2.0) is a 2 billion parameter flow-based diffusion transformer capable of generating diverse images from text descriptions. | ||
|
||
The abstract from the paper is: | ||
|
||
*We introduce Lumina-Image 2.0, an advanced text-to-image model that surpasses previous state-of-the-art methods across multiple benchmarks, while also shedding light on its potential to evolve into a generalist vision intelligence model. Lumina-Image 2.0 exhibits three key properties: (1) Unification – it adopts a unified architecture that treats text and image tokens as a joint sequence, enabling natural cross-modal interactions and facilitating task expansion. Besides, since high-quality captioners can provide semantically better-aligned text-image training pairs, we introduce a unified captioning system, UniCaptioner, which generates comprehensive and precise captions for the model. This not only accelerates model convergence but also enhances prompt adherence, variable-length prompt handling, and task generalization via prompt templates. (2) Efficiency – to improve the efficiency of the unified architecture, we develop a set of optimization techniques that improve semantic learning and fine-grained texture generation during training while incorporating inference-time acceleration strategies without compromising image quality. (3) Transparency – we open-source all training details, code, and models to ensure full reproducibility, aiming to bridge the gap between well-resourced closed-source research teams and independent developers.* | ||
|
||
<Tip> | ||
|
||
Make sure to check out the Schedulers [guide](../../using-diffusers/schedulers) to learn how to explore the tradeoff between scheduler speed and quality, and see the [reuse components across pipelines](../../using-diffusers/loading#reuse-a-pipeline) section to learn how to efficiently load the same components into multiple pipelines. | ||
|
||
</Tip> | ||
|
||
## Lumina2Text2ImgPipeline | ||
|
||
[[autodoc]] Lumina2Text2ImgPipeline | ||
- all | ||
- __call__ |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Uh oh!
There was an error while loading. Please reload this page.