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/xmeena")
prompt = "wide and low angle, cinematic, fashion photography. xmeena sitting on floor wearing a full size white t-shirt with big letters \\\"Meena\\\" logo text, random color jeans, high random color heels, anklets and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xmeena-flux-lora:1.3>"
image = pipe(prompt).images[0]Meena
- Prompt
- wide and low angle, cinematic, fashion photography. xmeena sitting on floor wearing a full size white t-shirt with big letters \"Meena\" logo text, random color jeans, high random color heels, anklets and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xmeena-flux-lora:1.3>
Trigger words
You should use xmeena to trigger the image generation.
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for pixologyds/xmeena
Base model
black-forest-labs/FLUX.1-dev