Instructions to use mm9all/klein9b-lora-klein9b-lora-j9n8xs-9b-test-3-1770645277 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mm9all/klein9b-lora-klein9b-lora-j9n8xs-9b-test-3-1770645277 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mm9all/klein9b-lora-klein9b-lora-j9n8xs-9b-test-3-1770645277") prompt = "a photo of AndyYang" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
klein9b-lora-klein9b-lora-j9n8xs-9b-test-3-1770645277 / checkpoint-350 /pytorch_lora_weights.safetensors
- Xet hash:
- 5d5231ce160bfc0044fee335b66da727e6a10aa1553e0fece8409e27915c81dc
- Size of remote file:
- 8.4 MB
- SHA256:
- 0e0fcac87ee61e1b4575cbc8bb1338e781593875af1bdd6ff1c130453f46f2cd
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