Instructions to use JacobLinCool/flux-gdg-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JacobLinCool/flux-gdg-2 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("JacobLinCool/flux-gdg-2") prompt = "\u0000\u0000A\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000s\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000l\u0000u\u0000s\u0000h\u0000,\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000f\u0000o\u0000r\u0000e\u0000s\u0000t\u0000 \u0000s\u0000e\u0000t\u0000t\u0000i\u0000n\u0000g\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000h\u0000o\u0000o\u0000d\u0000i\u0000e\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000b\u0000o\u0000l\u0000d\u0000,\u0000 \u0000s\u0000t\u0000y\u0000l\u0000i\u0000z\u0000e\u0000d\u0000 \u0000G\u0000D\u0000G\u0000 \u0000l\u0000o\u0000g\u0000o\u0000 \u0000o\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000h\u0000e\u0000s\u0000t\u0000.\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
GDG-2

- Prompt
- A woman standing outdoors in a lush, green forest setting. She is wearing a white hoodie with a bold, stylized GDG logo on the chest.
Trigger words
You should use GDG to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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