Instructions to use Danrisi/Samsung_FluxKlein_9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Danrisi/Samsung_FluxKlein_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("black-forest-labs/FLUX.2-klein-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Danrisi/Samsung_FluxKlein_9b") prompt = "A detailed, high-resolution panoramic photograph of the Dallas, Texas skyline and major highway interchanges at twilight. The composition is split by a complex multi-level road system that prominently features a distinct cloverleaf interchange, with dramatic, flowing long-exposure light trails from cars, creating golden and red lines. Below the roads are organized parking lots. The middle ground features the Trinity River with illuminated bridges and smaller commercial buildings. The background shows the iconic Dallas skyline: Reunion Tower with its lit-up ball, the green-outlined Bank of America Plaza, and other skyscrapers with colorful night lighting, all under a dramatic, colorful twilight sky transitioning from deep purple to fiery orange. The image is rich in detail and dynamic energy. Panoramic shot." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 132 Bytes
39b2d2a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ed6763d1112c1645c959f57a4e180c8153045278a43c067dd14d4e7b7adead24
size 2957017
|