Instructions to use lexa862/JuliaFluxLora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lexa862/JuliaFluxLora 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("lexa862/JuliaFluxLora") prompt = "jekia" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("lexa862/JuliaFluxLora")
prompt = "jekia"
image = pipe(prompt).images[0]Lexa862

- Prompt
- jekia
Model description
Julia Yoko
Trigger words
You should use Julia Yoko 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 lexa862/JuliaFluxLora
Base model
black-forest-labs/FLUX.1-dev