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("pixologyds/xamala")
prompt = "wide and low angle, cinematic, fashion photography. xamala sitting on floor wearing a full size light white t-shirt with big letters \\\"Amala Paul\\\" , teal jeans, nice red 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:xamala-flux-lora:1>"
image = pipe(prompt).images[0]Amala Paul
- Prompt
- wide and low angle, cinematic, fashion photography. xamala sitting on floor wearing a full size light white t-shirt with big letters \"Amala Paul\" , teal jeans, nice red 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:xamala-flux-lora:1>
Trigger words
You should use xamala 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/xamala
Base model
black-forest-labs/FLUX.1-dev