Initial commit
Browse files- .gitignore +55 -0
- LICENSE +176 -0
- README.md +86 -3
- model_index.json +23 -0
- scheduler/scheduler_config.json +8 -0
- text_encoder/__text_encoder__.py +17 -0
- text_encoder/config.json +23 -0
- text_encoder/model-00001-of-00002.safetensors +3 -0
- text_encoder/model-00002-of-00002.safetensors +3 -0
- text_encoder/model.safetensors.index.json +460 -0
- tokenizer/tokenizer.json +0 -0
- tokenizer/tokenizer_config.json +324 -0
- transformer/__transformer__.py +17 -0
- transformer/config.json +21 -0
- transformer/diffusion_pytorch_model.safetensors +3 -0
- vae/__vae__.py +17 -0
- vae/config.json +29 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
.gitignore
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# Compiled Object files
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*.slo
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*.lo
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*.o
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*.cuo
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# Compiled Dynamic libraries
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*.so
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*.dll
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*.dylib
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# Compiled Static libraries
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*.lai
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*.la
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*.a
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*.lib
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# Compiled python
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*.pyc
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__pycache__
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# Compiled MATLAB
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*.mex*
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# IPython notebook checkpoints
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.ipynb_checkpoints
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# Editor temporaries
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*.swp
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*~
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# Sublime Text settings
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*.sublime-workspace
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*.sublime-project
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# Eclipse Project settings
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*.*project
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.settings
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# QtCreator files
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*.user
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# VSCode files
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.vscode
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# IDEA files
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.idea
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# OSX dir files
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.DS_Store
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# Android files
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.gradle
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*.iml
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local.properties
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LICENSE
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END OF TERMS AND CONDITIONS
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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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tags:
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- text-to-image
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- image-generation
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- baai-nova
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---
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# NOVA (d48w1024-sd512) Model Card
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## Model Details
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- **Developed by:** BAAI
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- **Model type:** Masked Autoregressive Text-to-Image Generation Model
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- **Model size:** 645M
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- **Model precision:** torch.float16 (FP16)
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- **Model resolution:** 512x512
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- **Model Description:** This is a model that can be used to generate and modify images 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 image tokenizer ([SD-VAE](https://huggingface.co/stabilityai/sd-vae-ft-mse)).
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- **Model License:** [Apache 2.0 License](LICENSE)
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- **Resources for more information:** [GitHub Repository](https://github.com/baaivision/NOVA).
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## Examples
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Using the [🤗's Diffusers library](https://github.com/huggingface/diffusers) to run NOVA in a simple and efficient manner.
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```bash
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pip install diffusers transformers accelerate
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pip install git+ssh://[email protected]/baaivision/NOVA.git
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```
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Running the pipeline:
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```python
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import torch
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from diffnext.pipelines import NOVAPipeline
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model_id = "BAAI/nova-d48w1024-sd512"
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model_args = {"torch_dtype": torch.float16, "trust_remote_code": True}
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pipe = NOVAPipeline.from_pretrained(model_id, **model_args)
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pipe = pipe.to("cuda")
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prompt = "a shiba inu wearing a beret and black turtleneck."
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image = pipe(prompt).images[0]
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image.save("shiba_inu.jpg")
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```
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# Uses
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## Direct Use
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The model is intended for research purposes only. Possible research areas and tasks include
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- Research on generative models.
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- Applications in educational or creative tools.
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- Generation of artworks and use in design and other artistic processes.
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- Probing and understanding the limitations and biases of generative models.
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56 |
+
- Safe deployment of models which have the potential to generate harmful content.
|
57 |
+
|
58 |
+
Excluded uses are described below.
|
59 |
+
|
60 |
+
#### Out-of-Scope Use
|
61 |
+
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.
|
62 |
+
|
63 |
+
#### Misuse and Malicious Use
|
64 |
+
Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:
|
65 |
+
|
66 |
+
- Mis- and disinformation.
|
67 |
+
- Representations of egregious violence and gore.
|
68 |
+
- Impersonating individuals without their consent.
|
69 |
+
- Sexual content without consent of the people who might see it.
|
70 |
+
- Sharing of copyrighted or licensed material in violation of its terms of use.
|
71 |
+
- Intentionally promoting or propagating discriminatory content or harmful stereotypes.
|
72 |
+
- Sharing content that is an alteration of copyrighted or licensed material in violation of its terms of use.
|
73 |
+
- Generating demeaning, dehumanizing, or otherwise harmful representations of people or their environments, cultures, religions, etc.
|
74 |
+
|
75 |
+
## Limitations and Bias
|
76 |
+
|
77 |
+
### Limitations
|
78 |
+
|
79 |
+
- The autoencoding part of the model is lossy.
|
80 |
+
- The model cannot render complex legible text.
|
81 |
+
- The model does not achieve perfect photorealism.
|
82 |
+
- The fingers, .etc in general may not be generated properly.
|
83 |
+
- 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.
|
84 |
+
|
85 |
+
### Bias
|
86 |
+
While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases.
|
model_index.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "NOVAPipeline",
|
3 |
+
"tokenizer": [
|
4 |
+
"transformers",
|
5 |
+
"CodeGenTokenizerFast"
|
6 |
+
],
|
7 |
+
"scheduler": [
|
8 |
+
"diffusers",
|
9 |
+
"DDPMScheduler"
|
10 |
+
],
|
11 |
+
"vae": [
|
12 |
+
"__vae__",
|
13 |
+
"AutoencoderKL"
|
14 |
+
],
|
15 |
+
"text_encoder": [
|
16 |
+
"__text_encoder__",
|
17 |
+
"PhiEncoderModel"
|
18 |
+
],
|
19 |
+
"transformer": [
|
20 |
+
"__transformer__",
|
21 |
+
"NOVATransformer3DModel"
|
22 |
+
]
|
23 |
+
}
|
scheduler/scheduler_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "DDPMScheduler",
|
3 |
+
"beta_schedule": "squaredcos_cap_v2",
|
4 |
+
"num_train_timesteps": 1000,
|
5 |
+
"set_alpha_to_one": false,
|
6 |
+
"steps_offset": 1,
|
7 |
+
"clip_sample": false
|
8 |
+
}
|
text_encoder/__text_encoder__.py
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Copyright (c) 2024-present, BAAI. All Rights Reserved.
|
2 |
+
#
|
3 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
4 |
+
# you may not use this file except in compliance with the License.
|
5 |
+
# You may obtain a copy of the License at
|
6 |
+
#
|
7 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
8 |
+
#
|
9 |
+
# Unless required by applicable law or agreed to in writing, software
|
10 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
11 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
12 |
+
# See the License for the specific language governing permissions and
|
13 |
+
# limitations under the License.
|
14 |
+
##############################################################################
|
15 |
+
"""Text encoder."""
|
16 |
+
|
17 |
+
from diffnext.models.text_encoders.phi import PhiEncoderModel # noqa
|
text_encoder/config.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"PhiEncoderModel"
|
4 |
+
],
|
5 |
+
"bos_token_id": 50256,
|
6 |
+
"eos_token_id": 50256,
|
7 |
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"pad_token_id": 50256,
|
8 |
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"hidden_act": "gelu_pytorch_tanh",
|
9 |
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"hidden_size": 2560,
|
10 |
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"intermediate_size": 10240,
|
11 |
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"layer_norm_eps": 1e-05,
|
12 |
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"max_position_embeddings": 2048,
|
13 |
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"model_type": "phi",
|
14 |
+
"num_attention_heads": 32,
|
15 |
+
"num_hidden_layers": 32,
|
16 |
+
"num_key_value_heads": 32,
|
17 |
+
"partial_rotary_factor": 0.4,
|
18 |
+
"rope_scaling": null,
|
19 |
+
"rope_theta": 10000.0,
|
20 |
+
"torch_dtype": "float16",
|
21 |
+
"use_cache": true,
|
22 |
+
"vocab_size": 51200
|
23 |
+
}
|
text_encoder/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fbcdefa72edf7527bf5da40535b57d9f5bd3d16829b94a9d25d2b457df62e84
|
3 |
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size 4995584424
|
text_encoder/model-00002-of-00002.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:17b98759e4b7953cbcf63ec49be7edbc9b863b57c207d84a52f5d2f5bcfcf6b4
|
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size 563832976
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text_encoder/model.safetensors.index.json
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tokenizer/tokenizer.json
ADDED
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tokenizer/tokenizer_config.json
ADDED
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"special": false
|
299 |
+
},
|
300 |
+
"50293": {
|
301 |
+
"content": "\t\t\t",
|
302 |
+
"lstrip": false,
|
303 |
+
"normalized": true,
|
304 |
+
"rstrip": false,
|
305 |
+
"single_word": false,
|
306 |
+
"special": false
|
307 |
+
},
|
308 |
+
"50294": {
|
309 |
+
"content": "\t\t",
|
310 |
+
"lstrip": false,
|
311 |
+
"normalized": true,
|
312 |
+
"rstrip": false,
|
313 |
+
"single_word": false,
|
314 |
+
"special": false
|
315 |
+
}
|
316 |
+
},
|
317 |
+
"bos_token": "<|endoftext|>",
|
318 |
+
"clean_up_tokenization_spaces": true,
|
319 |
+
"eos_token": "<|endoftext|>",
|
320 |
+
"pad_token": "<|endoftext|>",
|
321 |
+
"model_max_length": 256,
|
322 |
+
"tokenizer_class": "CodeGenTokenizer",
|
323 |
+
"unk_token": "<|endoftext|>"
|
324 |
+
}
|
transformer/__transformer__.py
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Copyright (c) 2024-present, BAAI. All Rights Reserved.
|
2 |
+
#
|
3 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
4 |
+
# you may not use this file except in compliance with the License.
|
5 |
+
# You may obtain a copy of the License at
|
6 |
+
#
|
7 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
8 |
+
#
|
9 |
+
# Unless required by applicable law or agreed to in writing, software
|
10 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
11 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
12 |
+
# See the License for the specific language governing permissions and
|
13 |
+
# limitations under the License.
|
14 |
+
##############################################################################
|
15 |
+
"""Transformer model."""
|
16 |
+
|
17 |
+
from diffnext.models.transformers.transformer_nova import NOVATransformer3DModel # noqa
|
transformer/config.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"image_dim": 4,
|
3 |
+
"image_size": 512,
|
4 |
+
"image_stride": 8,
|
5 |
+
"text_token_dim": 2560,
|
6 |
+
"text_token_len": 256,
|
7 |
+
"video_base_size": [
|
8 |
+
1,
|
9 |
+
16,
|
10 |
+
16
|
11 |
+
],
|
12 |
+
"image_base_size": [
|
13 |
+
32,
|
14 |
+
32
|
15 |
+
],
|
16 |
+
"arch": [
|
17 |
+
"vit_d16w1024",
|
18 |
+
"vit_d32w1024",
|
19 |
+
"mlp_d3w1280"
|
20 |
+
]
|
21 |
+
}
|
transformer/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abaa1b7e6b59f015577cbd1f1a3ac4a9fca1e2839d9fed5a1a15346380c5b913
|
3 |
+
size 1285676816
|
vae/__vae__.py
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Copyright (c) 2024-present, BAAI. All Rights Reserved.
|
2 |
+
#
|
3 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
4 |
+
# you may not use this file except in compliance with the License.
|
5 |
+
# You may obtain a copy of the License at
|
6 |
+
#
|
7 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
8 |
+
#
|
9 |
+
# Unless required by applicable law or agreed to in writing, software
|
10 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
11 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
12 |
+
# See the License for the specific language governing permissions and
|
13 |
+
# limitations under the License.
|
14 |
+
##############################################################################
|
15 |
+
"""VAE model."""
|
16 |
+
|
17 |
+
from diffnext.models.autoencoders.autoencoder_kl import AutoencoderKL # noqa
|
vae/config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "AutoencoderKL",
|
3 |
+
"act_fn": "silu",
|
4 |
+
"block_out_channels": [
|
5 |
+
128,
|
6 |
+
256,
|
7 |
+
512,
|
8 |
+
512
|
9 |
+
],
|
10 |
+
"down_block_types": [
|
11 |
+
"DownEncoderBlock2D",
|
12 |
+
"DownEncoderBlock2D",
|
13 |
+
"DownEncoderBlock2D",
|
14 |
+
"DownEncoderBlock2D"
|
15 |
+
],
|
16 |
+
"in_channels": 3,
|
17 |
+
"latent_channels": 4,
|
18 |
+
"layers_per_block": 2,
|
19 |
+
"norm_num_groups": 32,
|
20 |
+
"out_channels": 3,
|
21 |
+
"sample_size": 512,
|
22 |
+
"scaling_factor": 0.18215,
|
23 |
+
"up_block_types": [
|
24 |
+
"UpDecoderBlock2D",
|
25 |
+
"UpDecoderBlock2D",
|
26 |
+
"UpDecoderBlock2D",
|
27 |
+
"UpDecoderBlock2D"
|
28 |
+
]
|
29 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f3944a3bb4da8058dd3d48327d8da8d875d5ea780833ade1b095bc4049536bac
|
3 |
+
size 334643252
|