Instructions to use aadadadadad/d1anazzz2308 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aadadadadad/d1anazzz2308 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aadadadadad/d1anazzz2308") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
d1anazzz2308

- Prompt
- -
Model description
Upload d1anazzz2308 flux lora
Trigger words
You should use d1anazzz2308 to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for aadadadadad/d1anazzz2308
Base model
black-forest-labs/FLUX.2-klein-9B Finetuned
wikeeyang/Flux2-Klein-9B-True-V2