Instructions to use hesleav/skog1_9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hesleav/skog1_9b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ponpoke/flux2-klein-9b-uncensored-text-encoder", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hesleav/skog1_9b") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
9b sexy woman lora

- Prompt
- -
Trigger words
You should use skogn to trigger the image generation.
Download model
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Model tree for hesleav/skog1_9b
Base model
black-forest-labs/FLUX.2-klein-9B