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("Kiefels/bra-flux-lora")
prompt = "bra, balconette bra, bralette, plunge bra, push up bra, racer back bra, sports bra, t-shirt bra"
image = pipe(prompt).images[0]bra-flux-lora
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- bra, balconette bra, bralette, plunge bra, push up bra, racer back bra, sports bra, t-shirt bra
- Prompt
- a stunning blonde woman wearing a sheer pastel pink plunge bra is standing applying make up in a mirror
- Prompt
- A stunning brunette wearing a balconette bra as she pours herself a glass of wine from a bottle, as she stands in a mirrored dining room with a large wooden table in the centre
- Prompt
- full length body shot facing the camera with her stunning, bright and piercing blue eyes twinkling in the light, wide angled photograph of a fit and toned red headed woman is working out in a gym, in front of a large mirror, she is wearing a light blue sports bra and light blue, form fitting leggings
- Prompt
- At a white sandy beach on a beautiful sunny day, a beautiful purple and black haired rock chick, covered in stunning tattoos is wearing a scarlet t-shirt bra and form fitting black leather trousers with black leather motorbike boots as she walks across the sand towards the bar.
Trigger words
You should use bra, balconette bra, bralette, plunge bra, push up bra, racer back bra, sports bra, t-shirt bra to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for Kiefels/bra-flux-lora
Base model
black-forest-labs/FLUX.1-dev