Instructions to use Pupieter/Gohin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pupieter/Gohin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Pupieter/Gohin") prompt = "UNICODE\u0000\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000a\u0000m\u0000a\u0000z\u0000i\u0000n\u0000g\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000,\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u00001\u0000b\u0000o\u0000y\u0000,\u0000f\u0000u\u0000r\u0000r\u0000y\u0000 \u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000G\u0000o\u0000h\u0000i\u0000n\u0000:\u00001\u0000>\u0000 \u0000g\u0000o\u0000h\u0000i\u0000n\u0000,\u0000 \u0000p\u0000a\u0000n\u0000d\u0000a\u0000,\u0000 \u0000m\u0000u\u0000s\u0000c\u0000u\u0000l\u0000a\u0000r\u0000 \u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000b\u0000e\u0000a\u0000s\u0000t\u0000a\u0000r\u0000s\u0000,\u0000 \u0000m\u0000a\u0000t\u0000u\u0000r\u0000e\u0000 \u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000a\u0000n\u0000d\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000f\u0000u\u0000r\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000e\u0000a\u0000r\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000s\u0000c\u0000l\u0000e\u0000r\u0000a\u0000,\u0000 \u0000s\u0000c\u0000a\u0000r\u0000s\u0000,\u0000 \u0000a\u0000t\u0000h\u0000l\u0000e\u0000t\u0000i\u0000c\u0000 \u0000b\u0000u\u0000i\u0000l\u0000d\u0000,\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000s\u0000c\u0000a\u0000r\u0000,\u0000 \u0000p\u0000a\u0000n\u0000t\u0000s\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Gohin

- Prompt
- UNICODEmasterpiece, best quality, amazing quality,,detailed background,1boy,furry male, <lora:Gohin:1> gohin, panda, muscular male, beastars, mature male, black and white fur, black ears, black eyes, black sclera, scars, athletic build, shirt, yellow shirt, scar, pants
Model description
LoRa by 8bitghosts, uploaded here for download from CivArchive
Trigger words
You should use gohin to trigger the image generation.
You should use panda to trigger the image generation.
You should use muscular male to trigger the image generation.
You should use beastars to trigger the image generation.
You should use mature male to trigger the image generation.
You should use black and white fur to trigger the image generation.
You should use black ears to trigger the image generation.
You should use black eyes to trigger the image generation.
You should use black sclera to trigger the image generation.
You should use scars to trigger the image generation.
You should use athletic build to trigger the image generation.
You should use shirt to trigger the image generation.
You should use yellow shirt to trigger the image generation.
You should use scar to trigger the image generation.
You should use pants to trigger the image generation.
Download model
Download them in the Files & versions tab.
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