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
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| 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. | |
| output: | |
| url: images/GDG-3_e000023_02_20241005224007.png | |
| - text: an open cardboard box with GDG logo on the sides. | |
| output: | |
| url: images/GDG-3_e000023_01_20241005223957.png | |
| - text: the GDG logo in a futuristic, neo-light aesthetic. | |
| output: | |
| url: images/GDG-3_e000023_00_20241005223946.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: GDG | |
| # GDG-3-000023 | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `GDG` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/JacobLinCool/flux-gdg-3-000023/tree/main) them in the Files & versions tab. | |