Instructions to use fchghfgh/ginga4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fchghfgh/ginga4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pmczip/FLUX.2-klein-9B_Models", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fchghfgh/ginga4") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Downloads last month
- 5
Model tree for fchghfgh/ginga4
Base model
black-forest-labs/FLUX.2-klein-base-9B Adapter
pmczip/FLUX.2-klein-9B_Models
