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KormoImagePipeline
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  1. README.md +198 -0
  2. model_index.json +24 -0
  3. scheduler/scheduler_config.json +18 -0
  4. text_encoder/config.json +220 -0
  5. text_encoder/generation_config.json +10 -0
  6. text_encoder/model-00001-of-00010.safetensors +3 -0
  7. text_encoder/model-00002-of-00010.safetensors +3 -0
  8. text_encoder/model-00003-of-00010.safetensors +3 -0
  9. text_encoder/model-00004-of-00010.safetensors +3 -0
  10. text_encoder/model-00005-of-00010.safetensors +3 -0
  11. text_encoder/model-00006-of-00010.safetensors +3 -0
  12. text_encoder/model-00007-of-00010.safetensors +3 -0
  13. text_encoder/model-00008-of-00010.safetensors +3 -0
  14. text_encoder/model-00009-of-00010.safetensors +3 -0
  15. text_encoder/model-00010-of-00010.safetensors +3 -0
  16. text_encoder/model.safetensors.index.json +813 -0
  17. tokenizer/chat_template.jinja +68 -0
  18. tokenizer/special_tokens_map.json +27 -0
  19. tokenizer/tokenizer.json +0 -0
  20. tokenizer/tokenizer_config.json +369 -0
  21. transformer/config.json +18 -0
  22. transformer/diffusion_pytorch_model-00001-of-00009.safetensors +3 -0
  23. transformer/diffusion_pytorch_model-00002-of-00009.safetensors +3 -0
  24. transformer/diffusion_pytorch_model-00003-of-00009.safetensors +3 -0
  25. transformer/diffusion_pytorch_model-00004-of-00009.safetensors +3 -0
  26. transformer/diffusion_pytorch_model-00005-of-00009.safetensors +3 -0
  27. transformer/diffusion_pytorch_model-00006-of-00009.safetensors +3 -0
  28. transformer/diffusion_pytorch_model-00007-of-00009.safetensors +3 -0
  29. transformer/diffusion_pytorch_model-00008-of-00009.safetensors +3 -0
  30. transformer/diffusion_pytorch_model-00009-of-00009.safetensors +3 -0
  31. transformer/diffusion_pytorch_model.safetensors.index.json +0 -0
  32. vae/config.json +57 -0
  33. vae/diffusion_pytorch_model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: diffusers
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+ [More Information Needed]
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+ ## Model Card Authors [optional]
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+ [More Information Needed]
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+ ## Model Card Contact
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+ [More Information Needed]
model_index.json ADDED
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+ {
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+ "PreTrainedTokenizerFast"
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+ "transformer": [
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+ "diffusers",
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+ "QwenImageTransformer2DModel"
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+ "vae": [
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+ "diffusers",
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+ "AutoencoderKLQwenImage"
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+ ]
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+ }
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tokenizer/chat_template.jinja ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if messages[0].role == 'system' %}
2
+     {{- '<|BOT|>system\n' + messages[0].content + '<|EOT|>\n' }}
3
+ {%- endif %}
4
+ {%- set ns = namespace(last_query_index=messages|length - 1) %}
5
+ {%- for message in messages[::-1] %}
6
+     {%- set index = (messages|length - 1) - loop.index0 %}
7
+     {%- if message.role == "user" %}
8
+         {%- set ns.last_query_index = index %}
9
+         {%- break %}
10
+     {%- endif %}
11
+ {%- endfor %}
12
+ {%- for message in messages %}
13
+     {%- if (message.role == "user") or (message.role == "system" and not loop.first) -%}
14
+         {{- '<|BOT|>' + message.role + '\n' }}
15
+         {%- for content in message.content | selectattr('type', 'equalto', 'image') %}{{ '<|image|>' }}{% endfor -%}
16
+         {%- for content in message.content | selectattr('type', 'equalto', 'video') %}{{ '<|video|>' }}{% endfor -%}
17
+         {% set has_media = (message.content | selectattr('type', 'in', ['image', 'video']) | list | length) > 0 %}
18
+         {%- for content in message.content | selectattr('type', 'equalto', 'text') -%}
19
+             {%- if has_media -%}
20
+                 {{ '\n' + content.text }}
21
+             {%- else -%}
22
+                 {{ content.text }}
23
+             {%- endif -%}
24
+         {%- endfor -%}
25
+         {{- '<|EOT|>\n' }}
26
+     {%- elif message.role == "assistant" %}
27
+         {%- set content_list = message.content | selectattr('type', 'equalto', 'text') | list %}
28
+         {%- set content = '' %}
29
+         {%- if content_list %}
30
+             {%- set content = content_list[0].text %}
31
+         {%- endif %}
32
+         {%- set reasoning_content = '' %}
33
+         {%- if message.reasoning_content is string %}
34
+             {%- set reasoning_content = message.reasoning_content %}
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+         {%- else %}
36
+             {%- if '</think/>' in content %}
37
+                 {% set parts = content.split('</think/>', 1) %}
38
+                 {% set reasoning_content = parts[0].split('<think>', 1) | last | trim %}
39
+                 {% set content = parts[1] | trim %}
40
+             {%- elif '</think>' in content %}
41
+                 {% set parts = content.split('</think>', 1) %}
42
+                 {% set reasoning_content = parts[0].split('<think>', 1) | last | trim %}
43
+                 {% set content = parts[1] | trim %}
44
+             {%- endif %}
45
+         {%- endif %}
46
+         {%- if loop.index0 > ns.last_query_index %}
47
+             {%- if loop.last or (not loop.last and reasoning_content) %}
48
+                 {{- '<|BOT|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n' + content.lstrip('\n') + '<|EOT|>\n' }}
49
+             {%- else %}
50
+                 {{- '<|BOT|>' + message.role + '\n' + content + '<|EOT|>\n' }}
51
+             {%- endif %}
52
+         {%- else %}
53
+             {{- '<|BOT|>' + message.role + '\n' + content + '<|EOT|>\n' }}
54
+         {%- endif %}
55
+     {%- endif %}
56
+ {%- endfor %}
57
+ {%- if add_generation_prompt %}
58
+     {{- '<|BOT|>assistant\n' }}
59
+     {%- if enable_thinking is defined %}
60
+         {%- if not enable_thinking %}
61
+             {{- '<think>\n\n</think>\n' }}
62
+         {%- else %}
63
+             {{- '<think>\n' }}
64
+         {%- endif %}
65
+     {%- else %}
66
+         {{- '<think>\n\n</think>\n' }}
67
+     {%- endif %}
68
+ {%- endif %}
tokenizer/special_tokens_map.json ADDED
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1
+ {
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+ "additional_special_tokens": [
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+ "<|image|>",
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+ "<|video|>"
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+ ],
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+ "bos_token": {
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+ "content": "<|BOS|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "eos_token": {
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+ "content": "<|EOT|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "pad_token": {
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+ "content": "<|PAD|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
26
+ }
27
+ }
tokenizer/tokenizer.json ADDED
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tokenizer/tokenizer_config.json ADDED
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+ {
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+ "added_tokens_decoder": {
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+ "125000": {
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+ "content": "\n\n",
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