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("aztro/ora-maba")
prompt = "A confident woman stands in a military-themed setting, wearing a form-fitting, olive green jumpsuit with a high collar and black gloves. Her long, braided hair falls over her shoulder, and she has a determined expression. The background features blurred figures in military attire and red banners, enhancing the authoritative atmosphere of the scene."
image = pipe(prompt).images[0]mabama-lora-flux
- Prompt
- A confident woman stands in a military-themed setting, wearing a form-fitting, olive green jumpsuit with a high collar and black gloves. Her long, braided hair falls over her shoulder, and she has a determined expression. The background features blurred figures in military attire and red banners, enhancing the authoritative atmosphere of the scene.
- Negative Prompt
- Low quality
Model description
Model mb
Trigger words
You should use mabama 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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Base model
black-forest-labs/FLUX.1-dev