GlitchXRiot
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Browse files- .gitattributes +35 -35
- LICENSE +71 -0
- configuration.json +1 -0
- model_index.json +24 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +32 -0
- text_encoder/model.safetensors.index.json +226 -0
- tokenizer/added_tokens.json +102 -0
- tokenizer/special_tokens_map.json +125 -0
- tokenizer/spiece.model +3 -0
- tokenizer/tokenizer_config.json +940 -0
- transformer/config.json +28 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +0 -0
- vae/config.json +39 -0
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LICENSE
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The CogVideoX License
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1. Definitions
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“Licensor” means the CogVideoX Model Team that distributes its Software.
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“Software” means the CogVideoX model parameters made available under this license.
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2. License Grant
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Under the terms and conditions of this license, the licensor hereby grants you a non-exclusive, worldwide, non-transferable, non-sublicensable, revocable, royalty-free copyright license. The intellectual property rights of the generated content belong to the user to the extent permitted by applicable local laws.
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This license allows you to freely use all open-source models in this repository for academic research. Users who wish to use the models for commercial purposes must register and obtain a basic commercial license in https://open.bigmodel.cn/mla/form .
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Users who have registered and obtained the basic commercial license can use the models for commercial activities for free, but must comply with all terms and conditions of this license. Additionally, the number of service users (visits) for your commercial activities must not exceed 1 million visits per month.
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If the number of service users (visits) for your commercial activities exceeds 1 million visits per month, you need to contact our business team to obtain more commercial licenses.
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The above copyright statement and this license statement should be included in all copies or significant portions of this software.
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3. Restriction
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You will not use, copy, modify, merge, publish, distribute, reproduce, or create derivative works of the Software, in whole or in part, for any military, or illegal purposes.
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You will not use the Software for any act that may undermine China's national security and national unity, harm the public interest of society, or infringe upon the rights and interests of human beings.
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4. Disclaimer
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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5. Limitation of Liability
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EXCEPT TO THE EXTENT PROHIBITED BY APPLICABLE LAW, IN NO EVENT AND UNDER NO LEGAL THEORY, WHETHER BASED IN TORT, NEGLIGENCE, CONTRACT, LIABILITY, OR OTHERWISE WILL ANY LICENSOR BE LIABLE TO YOU FOR ANY DIRECT, INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES, OR ANY OTHER COMMERCIAL LOSSES, EVEN IF THE LICENSOR HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
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6. Dispute Resolution
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This license shall be governed and construed in accordance with the laws of People’s Republic of China. Any dispute arising from or in connection with this License shall be submitted to Haidian District People's Court in Beijing.
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Note that the license is subject to update to a more comprehensive version. For any questions related to the license and copyright, please contact us at license@zhipuai.cn.
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1. 定义
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“许可方”是指分发其软件的 CogVideoX 模型团队。
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“软件”是指根据本许可提供的 CogVideoX 模型参数。
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2. 许可授予
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根据本许可的条款和条件,许可方特此授予您非排他性、全球性、不可转让、不可再许可、可撤销、免版税的版权许可。生成内容的知识产权所属,可根据适用当地法律的规定,在法律允许的范围内由用户享有生成内容的知识产权或其他权利。
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本许可允许您免费使用本仓库中的所有开源模型进行学术研究。对于希望将模型用于商业目的的用户,需在 https://open.bigmodel.cn/mla/form 完成登记并获得基础商用授权。
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经过登记并获得基础商用授权的用户可以免费使用本模型进行商业活动,但必须遵守本许可的所有条款和条件。
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在本许可证下,您的商业活动的服务用户数量(访问量)不得超过100万人次访问 / 每月。如果超过,您需要与我们的商业团队联系以获得更多的商业许可。
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上述版权声明和本许可声明应包含在本软件的所有副本或重要部分中。
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3.限制
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您不得出于任何军事或非法目的使用、复制、修改、合并、发布、分发、复制或创建本软件的全部或部分衍生作品。
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您不得利用本软件从事任何危害国家安全和国家统一、危害社会公共利益、侵犯人身权益的行为。
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4.免责声明
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本软件“按原样”提供,不提供任何明示或暗示的保证,包括但不限于对适销性、特定用途的适用性和非侵权性的保证。
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在任何情况下,作者或版权持有人均不对任何索赔、损害或其他责任负责,无论是在合同诉讼、侵权行为还是其他方面,由软件或软件的使用或其他交易引起、由软件引��或与之相关 软件。
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5. 责任限制
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除适用法律禁止的范围外,在任何情况下且根据任何法律理论,无论是基于侵权行为、疏忽、合同、责任或其他原因,任何许可方均不对您承担任何直接、间接、特殊、偶然、示范性、 或间接损害,或任何其他商业损失,即使许可人已被告知此类损害的可能性。
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6.争议解决
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本许可受中华人民共和国法律管辖并按其解释。 因本许可引起的或与本许可有关的任何争议应提交北京市海淀区人民法院。
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请注意,许可证可能会更新到更全面的版本。 有关许可和版权的任何问题,请通过 license@zhipuai.cn 与我们联系。
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configuration.json
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{"framework":"Pytorch","task":"text-to-video-synthesis"}
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model_index.json
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{
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"_class_name": "CogVideoXPipeline",
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"_diffusers_version": "0.31.0.dev0",
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"scheduler": [
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"diffusers",
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"CogVideoXDDIMScheduler"
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],
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"text_encoder": [
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"transformers",
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"T5EncoderModel"
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],
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"tokenizer": [
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"transformers",
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"T5Tokenizer"
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],
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"transformer": [
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"diffusers",
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"CogVideoXTransformer3DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKLCogVideoX"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "CogVideoXDDIMScheduler",
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"_diffusers_version": "0.31.0.dev0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"clip_sample_range": 1.0,
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"num_train_timesteps": 1000,
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"prediction_type": "v_prediction",
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"rescale_betas_zero_snr": true,
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"sample_max_value": 1.0,
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"set_alpha_to_one": true,
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"snr_shift_scale": 1.0,
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"steps_offset": 0,
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"timestep_spacing": "trailing",
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"trained_betas": null
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}
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text_encoder/config.json
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{
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"_name_or_path": "/share/official_pretrains/hf_home/t5-v1_1-xxl",
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"architectures": [
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"T5EncoderModel"
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],
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"classifier_dropout": 0.0,
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"d_ff": 10240,
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"d_kv": 64,
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"d_model": 4096,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"num_decoder_layers": 24,
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"num_heads": 64,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.4",
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"use_cache": true,
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"vocab_size": 32128
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}
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text_encoder/model.safetensors.index.json
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tokenizer/added_tokens.json
ADDED
@@ -0,0 +1,102 @@
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|
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|
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|
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|
1 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
101 |
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|
102 |
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|
tokenizer/special_tokens_map.json
ADDED
@@ -0,0 +1,125 @@
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|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
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|
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|
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|
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|
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|
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71 |
+
"<extra_id_68>",
|
72 |
+
"<extra_id_69>",
|
73 |
+
"<extra_id_70>",
|
74 |
+
"<extra_id_71>",
|
75 |
+
"<extra_id_72>",
|
76 |
+
"<extra_id_73>",
|
77 |
+
"<extra_id_74>",
|
78 |
+
"<extra_id_75>",
|
79 |
+
"<extra_id_76>",
|
80 |
+
"<extra_id_77>",
|
81 |
+
"<extra_id_78>",
|
82 |
+
"<extra_id_79>",
|
83 |
+
"<extra_id_80>",
|
84 |
+
"<extra_id_81>",
|
85 |
+
"<extra_id_82>",
|
86 |
+
"<extra_id_83>",
|
87 |
+
"<extra_id_84>",
|
88 |
+
"<extra_id_85>",
|
89 |
+
"<extra_id_86>",
|
90 |
+
"<extra_id_87>",
|
91 |
+
"<extra_id_88>",
|
92 |
+
"<extra_id_89>",
|
93 |
+
"<extra_id_90>",
|
94 |
+
"<extra_id_91>",
|
95 |
+
"<extra_id_92>",
|
96 |
+
"<extra_id_93>",
|
97 |
+
"<extra_id_94>",
|
98 |
+
"<extra_id_95>",
|
99 |
+
"<extra_id_96>",
|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>"
|
103 |
+
],
|
104 |
+
"eos_token": {
|
105 |
+
"content": "</s>",
|
106 |
+
"lstrip": false,
|
107 |
+
"normalized": false,
|
108 |
+
"rstrip": false,
|
109 |
+
"single_word": false
|
110 |
+
},
|
111 |
+
"pad_token": {
|
112 |
+
"content": "<pad>",
|
113 |
+
"lstrip": false,
|
114 |
+
"normalized": false,
|
115 |
+
"rstrip": false,
|
116 |
+
"single_word": false
|
117 |
+
},
|
118 |
+
"unk_token": {
|
119 |
+
"content": "<unk>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false
|
124 |
+
}
|
125 |
+
}
|
tokenizer/spiece.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
3 |
+
size 791656
|
tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,940 @@
|
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|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": true,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "<pad>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "<unk>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"32000": {
|
29 |
+
"content": "<extra_id_99>",
|
30 |
+
"lstrip": true,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": true,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"32001": {
|
37 |
+
"content": "<extra_id_98>",
|
38 |
+
"lstrip": true,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": true,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"32002": {
|
45 |
+
"content": "<extra_id_97>",
|
46 |
+
"lstrip": true,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": true,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"32003": {
|
53 |
+
"content": "<extra_id_96>",
|
54 |
+
"lstrip": true,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": true,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"32004": {
|
61 |
+
"content": "<extra_id_95>",
|
62 |
+
"lstrip": true,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": true,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"32005": {
|
69 |
+
"content": "<extra_id_94>",
|
70 |
+
"lstrip": true,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": true,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"32006": {
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
553 |
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|
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|
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|
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|
557 |
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|
558 |
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|
559 |
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|
560 |
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|
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|
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|
563 |
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|
564 |
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|
565 |
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|
566 |
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|
567 |
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|
568 |
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|
569 |
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|
570 |
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|
571 |
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|
572 |
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|
573 |
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|
574 |
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|
575 |
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|
576 |
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|
577 |
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|
578 |
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|
579 |
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|
580 |
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|
581 |
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|
582 |
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|
583 |
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|
584 |
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|
585 |
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|
586 |
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|
587 |
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|
588 |
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|
589 |
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|
590 |
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|
591 |
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|
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|
593 |
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|
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|
595 |
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|
596 |
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|
597 |
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|
598 |
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|
599 |
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|
600 |
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|
601 |
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|
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|
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|
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|
605 |
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|
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|
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|
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|
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|
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|
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|
612 |
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|
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|
614 |
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|
615 |
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|
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|
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|
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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|
623 |
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|
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|
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|
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|
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|
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|
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693 |
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|
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707 |
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|
709 |
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|
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|
715 |
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|
717 |
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718 |
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|
719 |
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|
720 |
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|
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|
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|
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|
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|
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|
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|
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|
731 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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748 |
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|
749 |
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|
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|
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|
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|
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|
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|
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|
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|
757 |
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|
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|
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|
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|
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|
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|
765 |
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|
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|
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|
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|
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|
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|
771 |
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|
772 |
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|
773 |
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|
774 |
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|
775 |
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|
776 |
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|
777 |
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|
778 |
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|
779 |
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|
780 |
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|
781 |
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|
782 |
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|
783 |
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|
784 |
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|
785 |
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|
786 |
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|
787 |
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|
788 |
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|
789 |
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|
790 |
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|
791 |
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|
792 |
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|
793 |
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|
794 |
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|
795 |
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|
796 |
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|
797 |
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|
798 |
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|
799 |
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|
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|
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|
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|
803 |
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|
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|
805 |
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|
806 |
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|
807 |
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|
808 |
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|
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|
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|
811 |
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|
812 |
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"32098": {
|
813 |
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|
814 |
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|
815 |
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|
816 |
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|
817 |
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|
818 |
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|
819 |
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|
820 |
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"32099": {
|
821 |
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|
822 |
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|
823 |
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|
824 |
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|
825 |
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|
826 |
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"special": true
|
827 |
+
}
|
828 |
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},
|
829 |
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"additional_special_tokens": [
|
830 |
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"<extra_id_0>",
|
831 |
+
"<extra_id_1>",
|
832 |
+
"<extra_id_2>",
|
833 |
+
"<extra_id_3>",
|
834 |
+
"<extra_id_4>",
|
835 |
+
"<extra_id_5>",
|
836 |
+
"<extra_id_6>",
|
837 |
+
"<extra_id_7>",
|
838 |
+
"<extra_id_8>",
|
839 |
+
"<extra_id_9>",
|
840 |
+
"<extra_id_10>",
|
841 |
+
"<extra_id_11>",
|
842 |
+
"<extra_id_12>",
|
843 |
+
"<extra_id_13>",
|
844 |
+
"<extra_id_14>",
|
845 |
+
"<extra_id_15>",
|
846 |
+
"<extra_id_16>",
|
847 |
+
"<extra_id_17>",
|
848 |
+
"<extra_id_18>",
|
849 |
+
"<extra_id_19>",
|
850 |
+
"<extra_id_20>",
|
851 |
+
"<extra_id_21>",
|
852 |
+
"<extra_id_22>",
|
853 |
+
"<extra_id_23>",
|
854 |
+
"<extra_id_24>",
|
855 |
+
"<extra_id_25>",
|
856 |
+
"<extra_id_26>",
|
857 |
+
"<extra_id_27>",
|
858 |
+
"<extra_id_28>",
|
859 |
+
"<extra_id_29>",
|
860 |
+
"<extra_id_30>",
|
861 |
+
"<extra_id_31>",
|
862 |
+
"<extra_id_32>",
|
863 |
+
"<extra_id_33>",
|
864 |
+
"<extra_id_34>",
|
865 |
+
"<extra_id_35>",
|
866 |
+
"<extra_id_36>",
|
867 |
+
"<extra_id_37>",
|
868 |
+
"<extra_id_38>",
|
869 |
+
"<extra_id_39>",
|
870 |
+
"<extra_id_40>",
|
871 |
+
"<extra_id_41>",
|
872 |
+
"<extra_id_42>",
|
873 |
+
"<extra_id_43>",
|
874 |
+
"<extra_id_44>",
|
875 |
+
"<extra_id_45>",
|
876 |
+
"<extra_id_46>",
|
877 |
+
"<extra_id_47>",
|
878 |
+
"<extra_id_48>",
|
879 |
+
"<extra_id_49>",
|
880 |
+
"<extra_id_50>",
|
881 |
+
"<extra_id_51>",
|
882 |
+
"<extra_id_52>",
|
883 |
+
"<extra_id_53>",
|
884 |
+
"<extra_id_54>",
|
885 |
+
"<extra_id_55>",
|
886 |
+
"<extra_id_56>",
|
887 |
+
"<extra_id_57>",
|
888 |
+
"<extra_id_58>",
|
889 |
+
"<extra_id_59>",
|
890 |
+
"<extra_id_60>",
|
891 |
+
"<extra_id_61>",
|
892 |
+
"<extra_id_62>",
|
893 |
+
"<extra_id_63>",
|
894 |
+
"<extra_id_64>",
|
895 |
+
"<extra_id_65>",
|
896 |
+
"<extra_id_66>",
|
897 |
+
"<extra_id_67>",
|
898 |
+
"<extra_id_68>",
|
899 |
+
"<extra_id_69>",
|
900 |
+
"<extra_id_70>",
|
901 |
+
"<extra_id_71>",
|
902 |
+
"<extra_id_72>",
|
903 |
+
"<extra_id_73>",
|
904 |
+
"<extra_id_74>",
|
905 |
+
"<extra_id_75>",
|
906 |
+
"<extra_id_76>",
|
907 |
+
"<extra_id_77>",
|
908 |
+
"<extra_id_78>",
|
909 |
+
"<extra_id_79>",
|
910 |
+
"<extra_id_80>",
|
911 |
+
"<extra_id_81>",
|
912 |
+
"<extra_id_82>",
|
913 |
+
"<extra_id_83>",
|
914 |
+
"<extra_id_84>",
|
915 |
+
"<extra_id_85>",
|
916 |
+
"<extra_id_86>",
|
917 |
+
"<extra_id_87>",
|
918 |
+
"<extra_id_88>",
|
919 |
+
"<extra_id_89>",
|
920 |
+
"<extra_id_90>",
|
921 |
+
"<extra_id_91>",
|
922 |
+
"<extra_id_92>",
|
923 |
+
"<extra_id_93>",
|
924 |
+
"<extra_id_94>",
|
925 |
+
"<extra_id_95>",
|
926 |
+
"<extra_id_96>",
|
927 |
+
"<extra_id_97>",
|
928 |
+
"<extra_id_98>",
|
929 |
+
"<extra_id_99>"
|
930 |
+
],
|
931 |
+
"clean_up_tokenization_spaces": true,
|
932 |
+
"eos_token": "</s>",
|
933 |
+
"extra_ids": 100,
|
934 |
+
"legacy": true,
|
935 |
+
"model_max_length": 226,
|
936 |
+
"pad_token": "<pad>",
|
937 |
+
"sp_model_kwargs": {},
|
938 |
+
"tokenizer_class": "T5Tokenizer",
|
939 |
+
"unk_token": "<unk>"
|
940 |
+
}
|
transformer/config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "CogVideoXTransformer3DModel",
|
3 |
+
"_diffusers_version": "0.31.0.dev0",
|
4 |
+
"activation_fn": "gelu-approximate",
|
5 |
+
"attention_bias": true,
|
6 |
+
"attention_head_dim": 64,
|
7 |
+
"dropout": 0.0,
|
8 |
+
"flip_sin_to_cos": true,
|
9 |
+
"freq_shift": 0,
|
10 |
+
"in_channels": 16,
|
11 |
+
"max_text_seq_length": 226,
|
12 |
+
"norm_elementwise_affine": true,
|
13 |
+
"norm_eps": 1e-05,
|
14 |
+
"num_attention_heads": 48,
|
15 |
+
"num_layers": 42,
|
16 |
+
"out_channels": 16,
|
17 |
+
"patch_size": 2,
|
18 |
+
"sample_frames": 49,
|
19 |
+
"sample_height": 60,
|
20 |
+
"sample_width": 90,
|
21 |
+
"spatial_interpolation_scale": 1.875,
|
22 |
+
"temporal_compression_ratio": 4,
|
23 |
+
"temporal_interpolation_scale": 1.0,
|
24 |
+
"text_embed_dim": 4096,
|
25 |
+
"time_embed_dim": 512,
|
26 |
+
"timestep_activation_fn": "silu",
|
27 |
+
"use_rotary_positional_embeddings": true
|
28 |
+
}
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transformer/diffusion_pytorch_model.safetensors.index.json
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vae/config.json
ADDED
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{
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"_class_name": "AutoencoderKLCogVideoX",
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"_diffusers_version": "0.31.0.dev0",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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256,
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256,
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512
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],
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"down_block_types": [
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"CogVideoXDownBlock3D",
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"CogVideoXDownBlock3D",
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"CogVideoXDownBlock3D",
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"CogVideoXDownBlock3D"
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+
],
|
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+
"force_upcast": true,
|
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+
"in_channels": 3,
|
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+
"latent_channels": 16,
|
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+
"latents_mean": null,
|
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+
"latents_std": null,
|
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+
"layers_per_block": 3,
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+
"norm_eps": 1e-06,
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+
"norm_num_groups": 32,
|
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+
"out_channels": 3,
|
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+
"sample_height": 480,
|
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+
"sample_width": 720,
|
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+
"scaling_factor": 0.7,
|
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+
"shift_factor": null,
|
30 |
+
"temporal_compression_ratio": 4,
|
31 |
+
"up_block_types": [
|
32 |
+
"CogVideoXUpBlock3D",
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33 |
+
"CogVideoXUpBlock3D",
|
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+
"CogVideoXUpBlock3D",
|
35 |
+
"CogVideoXUpBlock3D"
|
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+
],
|
37 |
+
"use_post_quant_conv": false,
|
38 |
+
"use_quant_conv": false
|
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+
}
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