Instructions to use 1littlecoder/pplx-style-flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1littlecoder/pplx-style-flux-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("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("1littlecoder/pplx-style-flux-lora") prompt = "pplx" image = pipe(prompt).images[0] - 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("undefined", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("1littlecoder/pplx-style-flux-lora")
prompt = "pplx"
image = pipe(prompt).images[0]pplx style flux lora
Model description
Perplexity Posters style Flux Lora
Trigger words
You should use pplx to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Example
In the stlye of pplx, A lone woman with a sleek black bob, seen from behind, stands in a sunlit meadow of dense purple and orange wildflowers. Before her floats an open book radiating warm, golden light that softly illuminates the blossoms. Behind it rises a tall wooden bookshelf filled with leather‑bound volumes, partially enveloped by the floral hill. Dreamlike, hyper‑detailed photorealistic digital art with a soft, ethereal atmosphere, pastel tones and glowing highlights, 8K resolution.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/turbo-flux-trainer.
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