Instructions to use MrHolt1988/ashtonflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MrHolt1988/ashtonflux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MrHolt1988/ashtonflux") prompt = "UNICODE\u0000\u0000p\u00003\u0000r\u0000s\u00000\u0000n\u0000,\u0000 \u0000m\u0000i\u0000k\u0000u\u0000s\u0000-\u0000g\u0000a\u0000y\u0000-\u0000l\u0000o\u0000r\u0000a\u0000,\u0000 \u0000d\u0000i\u0000c\u0000k\u0000i\u0000e\u0000,\u0000 \u0000A\u0000 \u0000n\u0000a\u0000k\u0000e\u0000d\u0000 \u0000m\u0000a\u0000n\u0000 \u0000i\u0000s\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000r\u0000a\u0000i\u0000n\u0000 \u0000(\u0000f\u0000a\u0000c\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000:\u00001\u0000.\u00003\u0000)\u0000.\u0000 \u0000H\u0000i\u0000s\u0000 \u0000f\u0000u\u0000l\u0000l\u0000 \u0000b\u0000o\u0000d\u0000y\u0000 \u0000s\u0000o\u0000a\u0000k\u0000i\u0000n\u0000g\u0000 \u0000w\u0000e\u0000t\u0000 \u0000a\u0000c\u0000c\u0000e\u0000n\u0000t\u0000u\u0000a\u0000t\u0000i\u0000n\u0000g\u0000 \u0000h\u0000i\u0000s\u0000 \u0000m\u0000u\u0000s\u0000c\u0000u\u0000l\u0000a\u0000r\u0000 \u0000b\u0000o\u0000d\u0000y\u0000 \u0000a\u0000n\u0000d\u0000 \u0000g\u0000e\u0000n\u0000i\u0000t\u0000i\u0000a\u0000l\u0000s\u0000.\u0000 \u0000H\u0000i\u0000s\u0000 \u0000c\u0000u\u0000r\u0000l\u0000y\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000h\u0000a\u0000n\u0000g\u0000s\u0000 \u0000h\u0000e\u0000a\u0000v\u0000y\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000r\u0000a\u0000i\u0000n\u0000.\u0000 \u0000H\u0000i\u0000s\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000 \u0000a\u0000r\u0000r\u0000o\u0000g\u0000a\u0000n\u0000t\u0000 \u0000c\u0000o\u0000m\u0000p\u0000l\u0000e\u0000t\u0000e\u0000l\u0000y\u0000 \u0000d\u0000i\u0000s\u0000r\u0000e\u0000g\u0000a\u0000r\u0000d\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000(\u0000p\u0000o\u0000w\u0000e\u0000r\u0000f\u0000u\u0000l\u0000 \u0000t\u0000h\u0000u\u0000n\u0000d\u0000e\u0000r\u0000 \u0000s\u0000t\u0000r\u0000i\u0000k\u0000i\u0000n\u0000g\u0000:\u00000\u0000.\u00008\u0000)\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000 \u0000h\u0000i\u0000m\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000s\u0000c\u0000e\u0000n\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000l\u0000o\u0000w\u0000-\u0000k\u0000e\u0000y\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000o\u0000w\u0000-\u0000a\u0000n\u0000g\u0000l\u0000e\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ashton

- Prompt
- UNICODEp3rs0n, mikus-gay-lora, dickie, A naked man is standing in the rain (facing the camera:1.3). His full body soaking wet accentuating his muscular body and genitials. His curly hair hangs heavy with rain. His expression arrogant completely disregarding the (powerful thunder striking:0.8) behind him. The scene has low-key lighting and low-angle
Trigger words
You should use p3rs0n to trigger the image generation.
Download model
Download them in the Files & versions tab.
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