Instructions to use theponpon/jack_blade_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use theponpon/jack_blade_lora 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("theponpon/jack_blade_lora") prompt = "The white and black, soft-textured rectangular hand grip is placed on a black table in a neatly organized background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
jack_blade_lora

- Prompt
- The white and black, soft-textured rectangular hand grip is placed on a black table in a neatly organized background.
Trigger words
You should use hite and black to trigger the image generation.
You should use soft-textured rectangular hand grip to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for theponpon/jack_blade_lora
Base model
black-forest-labs/FLUX.1-dev