Create README.md
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README.md
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---
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license: creativeml-openrail-m
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pipeline_tag: text-to-image
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tags:
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- Anime
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- Cute
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- Style
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- Lineart
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- McSionnaigh
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- advokat
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- Clumsy_Trainer
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- DucHaiten
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- stable-diffusion
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- stable-diffusion-1.5
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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base_model:
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- Yntec/Chip_n_DallE
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- Yntec/ChunkyCat
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base_model_relation: merge
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---
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# Chunking Chip Shots
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> [!WARNING]
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> **Warning:** This model doesn't have a Diffusers version available, if you need to use it on Google Colab, request it on the Community tab.
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This model improves over Chip & DallE's compositions and over ChunkyCat's backgrounds. Work in progress.
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Original pages:
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https://huggingface.co/Yntec/Chip_n_DallE
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https://huggingface.co/Yntec/ChunkyCat
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https://civitai.com/models/141004?modelVersionId=156294 (cat mochi property - NyankoMotsiX)
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https://civitai.com/models/171113/chunkyvolume?modelVersionId=192248
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https://civitai.com/models/156546/dalle-anime-model
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https://huggingface.co/Yntec/aBagOfChips
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https://civitai.com/models/142552?modelVersionId=163068 (Kitsch-In-Sync v2)
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https://huggingface.co/Yntec/GoodLife
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https://tensor.art/models/628276277415133426 (DucHaiten-GoldenLife)
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https://civitai.com/models/60724?modelVersionId=67980 (KIDS ILLUSTRATIONS V2)
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# Recipe:
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- SuperMerger Weight Sum Use MBW 0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,1,1,1
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Model A:
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ChunkyCat
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Model B:
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Chip_n_DallE
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Output:
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ChunkingChipShots
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# Merge Block Weight Analysis
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If each corresponding block was labeled as this:
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G = GoodLife
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D = DallEAnimeModel
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V = ChunkyVolume
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N = NyankoMotsiX
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Then the weights of the model would read like this:
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N,V,V,V,V,V,V,V,V,V,V,D,D,G,D,D,D,D,D,D,G,G,V,D,D,D
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