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-500 /pytorch_lora_weights.safetensors
- Xet hash:
- 1e38b7b28c35b79ed5ca3e121424c02d7a43b3454ad3850fc93f71229b7fa632
- Size of remote file:
- 8.4 MB
- SHA256:
- c88d3d4292c9633c6518c74536ce3b1e020359741cd2d0393c7cf1e29d80aa6b
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