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---
license: mit
language:
- en
base_model:
- connector/pig-1k
- connector/pig-1k-turbo
- connector/pig-video
- connector/pig-mochi
- connector/pig-cosmos
- connector/pig-t2w
- connector/pig-v2w
widget:
- text: close-up portrait of anime pig
output:
url: samples\ComfyUI_00005_.png
- text: close-up portrait of anime pig
output:
url: samples\ComfyUI_00004_.png
- text: >-
a pinky pig moving quickly in a beautiful winter scenery nature trees sunset
tracking camera
output:
url: samples\ComfyUI_00008_.webp
- text: >-
A crystalline waterfall stands partially frozen, its edges draped with
translucent ice that catches the sunlight in prisms of blue and silver.
Below, a half-frozen pool spreads out, bordered by delicate ice formations.
Through the fresh snow, a pink pig moves gracefully, its russet coat vibrant
against the white landscape, leaving perfect star-shaped prints behind as
steam rises from its breath in the crisp winter air. The scene is wrapped in
snow-muffled silence, broken only by the gentle murmur of water still
flowing beneath the ice.
parameters:
negative_prompt: >-
The video captures a series of frames showing ugly scenes, static with no
motion, motion blur, over-saturation, shaky footage, low resolution,
grainy texture, pixelated images, poorly lit areas, underexposed and
overexposed scenes, poor color balance, washed out colors, choppy
sequences, jerky movements, low frame rate, artifacting, color banding,
unnatural transitions, outdated special effects, fake elements,
unconvincing visuals, poorly edited content, jump cuts, visual noise, and
flickering. Overall, the video is of poor quality.
output:
url: samples\ComfyUI_00012_.webp
- text: >-
a pinky pig swimming in a beautiful lake scenery nature rock and hill sunset
tracking camera
output:
url: samples\ComfyUI_00009_.webp
- text: >-
a pinky pig swimming in a beautiful lake scenery nature rock and hill sunset
tracking camera
output:
url: samples\ComfyUI_00010_.webp
tags:
- pig
- gguf-node
---
# **gguf quantized version of pig🐷**
- tiny model but good quality output
- **🐷pig** is a lightweight architecture
- good performance on old machine
- upgrade your node for **pig** support
## **setup (once)**
- drag **gguf** to > `./ComfyUI/models/diffusion_models`
- drag **t5xxl** to > `./ComfyUI/models/text_encoders`
- drag **vae** to > `./ComfyUI/models/vae`
## **run it straight (no installation needed way)**
- run the .bat file in the main directory (assuming you are using the gguf-node with comfy pack)
- drag the workflow json file below or the demo picture/video (below) to > your browser
### **workflow**
- example workflow ([json](https://huggingface.co/calcuis/pig/blob/main/workflow-pig-1k.json)) for pig-1k
- example workflow ([json](https://huggingface.co/calcuis/pig/blob/main/workflow-pig-1k-turbo.json)) for pig-1k-turbo
- example workflow ([json](https://huggingface.co/calcuis/pig/blob/main/workflow-pig-video.json)) for pig-video
- example workflow ([json](https://huggingface.co/calcuis/pig/blob/main/workflow-pig-mochi.json)) for pig-mochi
- example workflow ([json](https://huggingface.co/calcuis/pig/blob/main/workflow-pig-cosmos.json)) for pig-cosmos [[oldt5xxl](https://huggingface.co/chatpig/t5xxl/blob/main/oldt5_xxl_fp8_e4m3fn.safetensors)]
- example workflow ([json](https://huggingface.co/calcuis/pig/blob/main/workflow-pig-t2w.json)) for pig-t2w
- example workflow ([json](https://huggingface.co/calcuis/pig/blob/main/workflow-pig-v2w.json)) for pig-v2w
<Gallery />
### **reference**
- base model from [connector](https://huggingface.co/connector) (pig-[1k](https://huggingface.co/connector/pig-1k)|[1k-turbo](https://huggingface.co/connector/pig-1k-turbo)|[video](https://huggingface.co/connector/pig-video)|[mochi](https://huggingface.co/connector/pig-mochi)|[cosmos](https://huggingface.co/connector/pig-cosmos)|[t2w](https://huggingface.co/connector/pig-t2w)|[v2w](https://huggingface.co/connector/pig-v2w))
- comfyui [comfyanonymous](https://github.com/comfyanonymous/ComfyUI)
- gguf-node ([pypi](https://pypi.org/project/gguf-node)|[repo](https://github.com/calcuis/gguf)|[pack](https://github.com/calcuis/gguf/releases))