---
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]
> **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