Instructions to use liming518/FluxNova with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use liming518/FluxNova 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("liming518/FluxNova") prompt = "original img from lora creator" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- 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("liming518/FluxNova")
prompt = "original img from lora creator"
image = pipe(prompt).images[0]Civitai lora for Flux1dev
Original image for this lora and images i made:

- Prompt
- original img from lora creator

- Prompt
- lora at 0.1, dark latina prompt

- Prompt
- lora at 0.95, latina prompt

- Prompt
- lora at 0.1, pale caucasian prompt

- Prompt
- lora at 0.1, black african prompt

- Prompt
- lora at 0.95, indian prompt
- Downloads last month
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Model tree for liming518/FluxNova
Base model
black-forest-labs/FLUX.1-dev