Instructions to use Seryoger/Nami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seryoger/Nami 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.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Seryoger/Nami") prompt = "low passed modular sofa, High-quality chenille fabric, light beige fabric modular sofa with an array of striped and plain pillows, placed on a gravel terrace under the dappled shade of a large pomegranate tree. A white stucco wall is in the background. The setting is relaxed and Mediterranean, with terracotta pots and natural light casting intricate shadows." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Nami

- Prompt
- low passed modular sofa, High-quality chenille fabric, light beige fabric modular sofa with an array of striped and plain pillows, placed on a gravel terrace under the dappled shade of a large pomegranate tree. A white stucco wall is in the background. The setting is relaxed and Mediterranean, with terracotta pots and natural light casting intricate shadows.

- Prompt
- -
Model description
Flux 2 dev test
Trigger words
You should use Nami to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Seryoger/Nami
Base model
black-forest-labs/FLUX.1-dev