Initial commit

.gitignore

@@ -0,0 +1,55 @@
+# Compiled Object files
+*.slo
+*.lo
+*.o
+*.cuo
+
+# Compiled Dynamic libraries
+*.so
+*.dll
+*.dylib
+
+# Compiled Static libraries
+*.lai
+*.la
+*.a
+*.lib
+
+# Compiled python
+*.pyc
+__pycache__
+
+# Compiled MATLAB
+*.mex*
+
+# IPython notebook checkpoints
+.ipynb_checkpoints
+
+# Editor temporaries
+*.swp
+*~
+
+# Sublime Text settings
+*.sublime-workspace
+*.sublime-project
+
+# Eclipse Project settings
+*.*project
+.settings
+
+# QtCreator files
+*.user
+
+# VSCode files
+.vscode
+
+# IDEA files
+.idea
+
+# OSX dir files
+.DS_Store
+
+# Android files
+.gradle
+*.iml
+local.properties

LICENSE

@@ -0,0 +1,176 @@
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README.md

@@ -1,3 +1,90 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+tags:
+  - text-to-video
+  - video-generation
+  - baai-nova
+---
+
+# NOVA (d48w1024-osp480) Model Card 
+
+## Model Details
+- **Developed by:** BAAI
+- **Model type:** Masked Autoregressive Text-to-Video Generation Model
+- **Model size:** 645M
+- **Model precision:** torch.float16 (FP16)
+- **Model resolution:** 768x480
+- **Model Description:** This is a model that can be used to generate and modify videos based on text prompts. It is a [Masked Autoregressive (MAR)](https://arxiv.org/abs/2406.11838) diffusion model that uses a pretrained text encoder ([Phi-2](https://huggingface.co/microsoft/phi-2)) and one VAE video tokenizer ([OpenSoraPlanV1.2-VAE](https://huggingface.co/LanguageBind/Open-Sora-Plan-v1.2.0)).
+- **Model License:** [Apache 2.0 License](LICENSE)
+- **Resources for more information:** [GitHub Repository](https://github.com/baaivision/NOVA).
+
+## Examples
+
+Using the [🤗's Diffusers library](https://github.com/huggingface/diffusers) to run NOVA in a simple and efficient manner.
+
+```bash
+pip install diffusers transformers accelerate imageio[ffmpeg]
+pip install git+ssh://[email protected]/baaivision/NOVA.git
+```
+
+Running the pipeline:
+
+```python
+import torch
+from diffnext.pipelines import NOVAPipeline
+from diffnext.utils import export_to_image, export_to_video
+
+model_id = "BAAI/nova-d48w1024-osp480"
+model_args = {"torch_dtype": torch.float16, "trust_remote_code": True}
+pipe = NOVAPipeline.from_pretrained(model_id, **model_args)
+pipe = pipe.to("cuda")
+
+prompt = "Many spotted jellyfish pulsating under water."
+
+image = pipe(prompt, max_latent_length=1).frames[0, 0]
+export_to_image(image, "jellyfish.jpg")
+
+video = pipe(prompt, max_latent_length=9).frames[0]
+export_to_video(video, "jellyfish.mp4", fps=12)
+```
+
+# Uses
+
+## Direct Use 
+The model is intended for research purposes only. Possible research areas and tasks include
+
+- Research on generative models.
+- Applications in educational or creative tools.
+- Generation of artworks and use in design and other artistic processes.
+- Probing and understanding the limitations and biases of generative models.
+- Safe deployment of models which have the potential to generate harmful content.
+
+Excluded uses are described below.
+
+#### Out-of-Scope Use
+The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model.
+
+#### Misuse and Malicious Use
+Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:
+
+- Mis- and disinformation.
+- Representations of egregious violence and gore.
+- Impersonating individuals without their consent.
+- Sexual content without consent of the people who might see it.
+- Sharing of copyrighted or licensed material in violation of its terms of use.
+- Intentionally promoting or propagating discriminatory content or harmful stereotypes.
+- Sharing content that is an alteration of copyrighted or licensed material in violation of its terms of use.
+- Generating demeaning, dehumanizing, or otherwise harmful representations of people or their environments, cultures, religions, etc.
+
+## Limitations and Bias
+
+### Limitations
+
+- The autoencoding part of the model is lossy.
+- The model cannot render complex legible text.
+- The model does not achieve perfect photorealism.
+- The fingers, .etc in general may not be generated properly.
+- The model was trained on a subset of the web datasets [LAION-5B](https://laion.ai/blog/laion-5b/) and [COYO-700M](https://github.com/kakaobrain/coyo-dataset), which contains adult, violent and sexual content.
+
+### Bias
+While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.

model_index.json

@@ -0,0 +1,23 @@
+{
+  "_class_name": "NOVAPipeline",
+  "tokenizer": [
+    "transformers",
+    "CodeGenTokenizerFast"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DDPMScheduler"
+  ],
+  "vae": [
+    "__vae__",
+    "AutoencoderKLOpenSora"
+  ],
+  "text_encoder": [
+    "__text_encoder__",
+    "PhiEncoderModel"
+  ],
+  "transformer": [
+    "__transformer__",
+    "NOVATransformer3DModel"
+  ]
+}

scheduler/scheduler_config.json

@@ -0,0 +1,8 @@
+{
+  "_class_name": "DDPMScheduler",
+  "beta_schedule": "squaredcos_cap_v2",
+  "num_train_timesteps": 1000,
+  "set_alpha_to_one": false,
+  "steps_offset": 1,
+  "clip_sample": false
+}

text_encoder/__text_encoder__.py

@@ -0,0 +1,17 @@
+# Copyright (c) 2024-present, BAAI. 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.
+##############################################################################
+"""Text encoder."""
+
+from diffnext.models.text_encoders.phi import PhiEncoderModel  # noqa

text_encoder/config.json

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+{
+  "architectures": [
+    "PhiEncoderModel"
+  ],
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "pad_token_id": 50256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_size": 2560,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "phi",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "partial_rotary_factor": 0.4,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "float16",
+  "use_cache": true,
+  "vocab_size": 51200
+}

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+  "pad_token": "<|endoftext|>",
+  "model_max_length": 256,
+  "tokenizer_class": "CodeGenTokenizer",
+  "unk_token": "<|endoftext|>"
+}

transformer/__transformer__.py

@@ -0,0 +1,17 @@
+# Copyright (c) 2024-present, BAAI. 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.
+##############################################################################
+"""Transformer model."""
+
+from diffnext.models.transformers.transformer_nova import NOVATransformer3DModel  # noqa

transformer/config.json

@@ -0,0 +1,25 @@
+{
+  "image_dim": 4,
+  "image_size": [
+    480,
+    768
+  ],
+  "image_stride": 8,
+  "text_token_dim": 2560,
+  "text_token_len": 256,
+  "video_mixer_rank": 24,
+  "video_base_size": [
+    16,
+    15,
+    24
+  ],
+  "image_base_size": [
+    30,
+    48
+  ],
+  "arch": [
+    "vit_d16w1024",
+    "vit_d32w1024",
+    "mlp_d3w1280"
+  ]
+}

transformer/diffusion_pytorch_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21dec394e82e040a4173f8de6369ff8cc84cedb3c041ccf0e85d36c4ed99958d
+size 1291088736

vae/__vae__.py

@@ -0,0 +1,17 @@
+# Copyright (c) 2024-present, BAAI. 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.
+##############################################################################
+"""VAE model."""
+
+from diffnext.models.autoencoders.autoencoder_kl_opensora import AutoencoderKLOpenSora  # noqa

vae/config.json

@@ -0,0 +1,29 @@
+{
+  "_class_name": "AutoencoderKLOpenSora",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock3D",
+    "DownEncoderBlock3D"
+  ],
+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 480,
+  "scaling_factor": 0.18215,
+  "up_block_types": [
+    "UpDecoderBlock3D",
+    "UpDecoderBlock3D",
+    "UpDecoderBlock3D",
+    "UpDecoderBlock3D"
+  ]
+}

vae/diffusion_pytorch_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e860e79354462b9f3df3b2afd1a35ef258b986c9f01f1497f9acfec4c0da046
+size 478407926