Instructions to use Jmorgan5577/Morgan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jmorgan5577/Morgan 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("Jmorgan5577/Morgan") prompt = "UNICODE\u0000\u0000M\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000R\u0000e\u0000s\u0000o\u0000l\u0000u\u0000t\u0000i\u0000o\u0000n\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000o\u0000f\u0000 \u0000a\u0000n\u0000 \u00001\u00008\u0000y\u0000o\u0000 \u0000S\u0000k\u0000i\u0000n\u0000n\u0000y\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000m\u0000a\u0000n\u0000 \u0000n\u0000a\u0000m\u0000e\u0000d\u0000 \u0000M\u0000o\u0000r\u0000g\u0000a\u0000n\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000f\u0000a\u0000c\u0000i\u0000n\u0000g\u0000 \u0000f\u0000o\u0000r\u0000w\u0000a\u0000r\u0000d\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000.\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Morgan

- Prompt
- UNICODEMedium high Resolution shot of an 18yo Skinny black man named Morgan standing facing forward and looking at camera.
Model description
Character named Morgan
Trigger words
You should use Morgan to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 11