license: creativeml-openrail-m
pipeline_tag: text-to-image
tags:
- Anime
- Cute
- Style
- Lineart
- McSionnaigh
- advokat
- Clumsy_Trainer
- DucHaiten
- stable-diffusion
- stable-diffusion-1.5
- stable-diffusion-diffusers
- text-to-image
- diffusers
base_model:
- Yntec/Chip_n_DallE
- Yntec/ChunkyCat
base_model_relation: merge
Chunking Chip Shots
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.
This model improves over Chip & DallE's compositions and over ChunkyCat's backgrounds. Work in progress.
Original pages:
https://huggingface.co/Yntec/Chip_n_DallE
https://huggingface.co/Yntec/ChunkyCat
https://civitai.com/models/141004?modelVersionId=156294 (cat mochi property - NyankoMotsiX)
https://civitai.com/models/171113/chunkyvolume?modelVersionId=192248
https://civitai.com/models/156546/dalle-anime-model
https://huggingface.co/Yntec/aBagOfChips
https://huggingface.co/Yntec/GoodLife
https://tensor.art/models/628276277415133426 (DucHaiten-GoldenLife)
https://civitai.com/models/60724?modelVersionId=67980 (KIDS ILLUSTRATIONS V2)
Recipe:
- 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
Model A:
ChunkyCat
Model B:
Chip_n_DallE
Output:
ChunkingChipShots
Merge Block Weight Analysis
If each corresponding block was labeled as this:
G = GoodLife
D = DallEAnimeModel
V = ChunkyVolume
N = NyankoMotsiX
Then the weights of the model would read like this:
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