Instructions to use JacobLinCool/flux-gdg-3-000023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JacobLinCool/flux-gdg-3-000023 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-3-000023") 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." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
GDG-3-000023

- 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.

- Prompt
- an open cardboard box with GDG logo on the sides.

- Prompt
- the GDG logo in a futuristic, neo-light aesthetic.
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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