Add pipeline tag, link to paper and project page

#1
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +5 -2
README.md CHANGED
@@ -1,10 +1,11 @@
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  ---
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- license: apache-2.0
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  base_model:
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  - Qwen/Qwen3.5-4B
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  - Qwen/Qwen3.5-9B
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  - Qwen/Qwen3.5-35B-A3B
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  library_name: peft
 
 
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  tags:
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  - text-to-image
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  - prompt-expansion
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  LoRA adapters for the prompt-expansion policies of *T-DIG: Text-conditioned Diversity for Image Generation* (under review).
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  Given a prompt and a request for what should differ, a *generation* policy writes K prompts, one per image, that vary the requested axis and keep everything else in the prompt. An *editing* policy instead writes one edit instruction per image of an existing set. The text-to-image (T2I) model is not changed. Each policy is trained with GRPO against one T2I model; it works with others, but best with its own.
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  ## Contents
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  ## Citation
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- Citation information will be added after review.
 
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  ---
 
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  base_model:
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  - Qwen/Qwen3.5-4B
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  - Qwen/Qwen3.5-9B
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  - Qwen/Qwen3.5-35B-A3B
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  library_name: peft
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+ license: apache-2.0
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+ pipeline_tag: text-generation
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  tags:
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  - text-to-image
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  - prompt-expansion
 
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  LoRA adapters for the prompt-expansion policies of *T-DIG: Text-conditioned Diversity for Image Generation* (under review).
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+ Paper: [T-DIG on Hugging Face](https://huggingface.co/papers/2610.29003) · Project page: [image-study.org/t-dig](https://image-study.org/t-dig/)
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+
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  Given a prompt and a request for what should differ, a *generation* policy writes K prompts, one per image, that vary the requested axis and keep everything else in the prompt. An *editing* policy instead writes one edit instruction per image of an existing set. The text-to-image (T2I) model is not changed. Each policy is trained with GRPO against one T2I model; it works with others, but best with its own.
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  ## Contents
 
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  ## Citation
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+ Citation information will be added after review.