Instructions to use Rand000mGuy/shoshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/shoshi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/shoshi") prompt = "UNICODE\u0000\u0000t\u0000h\u0000r\u0000e\u0000e\u0000-\u0000q\u0000u\u0000a\u0000r\u0000t\u0000e\u0000r\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000o\u0000f\u0000 \u0000s\u0000h\u0000o\u0000s\u0000h\u0000i\u0000c\u0000 \u0000b\u0000y\u0000 \u0000a\u0000 \u0000w\u0000i\u0000n\u0000d\u0000o\u0000w\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000q\u0000u\u0000i\u0000e\u0000t\u0000 \u0000c\u0000a\u0000f\u0000e\u0000,\u0000 \u0000h\u0000e\u0000a\u0000d\u0000 \u0000t\u0000u\u0000r\u0000n\u0000e\u0000d\u0000 \u0000s\u0000l\u0000i\u0000g\u0000h\u0000t\u0000l\u0000y\u0000 \u0000a\u0000w\u0000a\u0000y\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000,\u0000 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000d\u0000a\u0000y\u0000l\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000c\u0000a\u0000l\u0000m\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000f\u0000a\u0000c\u0000i\u0000a\u0000l\u0000 \u0000s\u0000t\u0000r\u0000u\u0000c\u0000t\u0000u\u0000r\u0000e\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/6d96dd95-cf53-4df5-ba2b-50819d444829.jpeg
text: "UNICODE\0\0t\0h\0r\0e\0e\0-\0q\0u\0a\0r\0t\0e\0r\0 \0p\0o\0r\0t\0r\0a\0i\0t\0 \0o\0f\0 \0s\0h\0o\0s\0h\0i\0c\0 \0b\0y\0 \0a\0 \0w\0i\0n\0d\0o\0w\0 \0i\0n\0 \0a\0 \0q\0u\0i\0e\0t\0 \0c\0a\0f\0e\0,\0 \0h\0e\0a\0d\0 \0t\0u\0r\0n\0e\0d\0 \0s\0l\0i\0g\0h\0t\0l\0y\0 \0a\0w\0a\0y\0 \0f\0r\0o\0m\0 \0t\0h\0e\0 \0c\0a\0m\0e\0r\0a\0,\0 \0s\0o\0f\0t\0 \0n\0a\0t\0u\0r\0a\0l\0 \0d\0a\0y\0l\0i\0g\0h\0t\0,\0 \0c\0a\0l\0m\0 \0e\0x\0p\0r\0e\0s\0s\0i\0o\0n\0,\0 \0r\0e\0a\0l\0i\0s\0t\0i\0c\0 \0p\0h\0o\0t\0o\0g\0r\0a\0p\0h\0y\0,\0 \0h\0i\0g\0h\0l\0y\0 \0d\0e\0t\0a\0i\0l\0e\0d\0 \0f\0a\0c\0i\0a\0l\0 \0s\0t\0r\0u\0c\0t\0u\0r\0e\0"
base_model: Lakonik/AsymFLUX.2-klein-9B
instance_prompt: null
shoshi

- Prompt
- UNICODEthree-quarter portrait of shoshic by a window in a quiet cafe, head turned slightly away from the camera, soft natural daylight, calm expression, realistic photography, highly detailed facial structure
Download model
Download them in the Files & versions tab.