Instructions to use alexShangeeth/navy_blue_jacket with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alexShangeeth/navy_blue_jacket 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("alexShangeeth/navy_blue_jacket") prompt = "b4jack20" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
navy_blue_jacket
Model description
this model is trained for navy blue jacket with 2000 steps and used advanced settings (captions)
Trigger words
You should use b4jack20 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-general-training.
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Model tree for alexShangeeth/navy_blue_jacket
Base model
black-forest-labs/FLUX.1-dev