Comments (5)
Hello @unmo. The seeds.json contains an array like [ [A, [B, C, D, E] , [A, [B, C, D, E], ...]
where "A"s indicates the sub directory name in the dataset and "BCDE" are the image pair names in sub directory "A". Notice that the two images for "B" are represented as "B_0.jpg" (before edit) and "B_1.jpg" (after edit), which should be edited according to the prompt.json file in "A".
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Hi, you can access to clip-filtered-dataset and just download part of data (14GB), then you can check and find the pattern of the dataset.
Remember to download seeds.json.
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Thank you very much!
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Hello. I have a question.
What is seeds.json used for?
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I understood the structure. Thank you very much.
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Related Issues (20)
- Regarding the time and device needed for dataset construction
- About pix2pix access huggingface URL
- "Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used" HOT 2
- Hi , any update ?
- The edit_cli runs well but edit_app returns nothing. HOT 1
- FeatureReguest/Enhancement/Idea
- NOT the file config.json?
- which version cuda should i choose for this application?
- Cannot Download Checkpoint HOT 2
- Learning Rate scheduler
- demo broken
- How to Accelerate Training Data Generation with SDXL-Turbo or LCM?
- Torch version conflict between ip2p and k-diffusion HOT 1
- is the finetuned GPT3 model that generates edit captions from edit instructions openly available?
- Max Resolution
- Prompt to prompt implementation for dataset generation
- metadata.jsonl in the clip-filtered-dataset
- AttributeError: 'AutoencoderKL' object has no attribute 'quantize' HOT 2
- RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 2
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