import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("pixologyds/xpranita")
prompt = "wide and low angle, cinematic, fashion photography. xpranita sitting on floor wearing a full size white t-shirt with big letters \\\"Pranitha\\\" logo text, pink jeans, colored high heels and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xpranita-lra-flux:1>"
image = pipe(prompt).images[0]Pranitha Subhash
- Prompt
- wide and low angle, cinematic, fashion photography. xpranita sitting on floor wearing a full size white t-shirt with big letters \"Pranitha\" logo text, pink jeans, colored high heels and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xpranita-lra-flux:1>
Trigger words
You should use xpranita to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 1
Model tree for pixologyds/xpranita
Base model
black-forest-labs/FLUX.1-dev