Instructions to use mm9all/klein9b-lora-klein9b-lora-tdyrj0-9b-test-1770519132 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mm9all/klein9b-lora-klein9b-lora-tdyrj0-9b-test-1770519132 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.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mm9all/klein9b-lora-klein9b-lora-tdyrj0-9b-test-1770519132") prompt = "a photo of zwx_ooas" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| {"current_step": 50, "total_steps": 50, "resume_from_step": 0, "current_loss": 1.38, "best_loss": 0.61, "best_checkpoint_step": 3, "current_lr": 0.0001, "step_time": 2.6582898616790773, "eta_seconds": 0, "progress": 100, "status": "training", "model_version": "klein_9b"} |