Flux.1-Dev LoRA Adapter Trained on ABAII Logo
LoRA Adapter for black-forest-labs/FLUX.1-dev trained on 12 pictures of ABAII Logo with ai-toolkit
Model Details
Some Examples
LoRA was trained with the trigger phrase A photo of the ABAII logo on [material]. The logo features the text "ABAII" in bold, dark blue letters, with "Academy of Blockchain and AI Innovation" written below in smaller font. To the left of the text is a stylized design in green, resembling a digital or blockchain motif.
Usage
With diffusers package
Note: FLUX uses ~70GBvram when loaded directly with diffusers
Note: Recommended to load at ~70% scale for best results
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
pipeline.load_lora_weights("dtthanh/abaii_logo_v2", weight_name="abaii_v2.safetensors")
pipeline.to("cuda")
prompt = "A photo of the ABAII logo on a white mug. The logo features the text "ABAII" in bold, dark blue letters, with "Academy of Blockchain and AI Innovation" written below in smaller font. To the left of the text is a stylized design in green, resembling a digital or blockchain motif. The mug is placed on a wooden table, providing a warm and natural background."
out = pipeline(
prompt=prompt,
guidance_scale=3.5,
num_inference_steps=20,
cross_attention_kwargs={"scale": 0.7}
).images[0]
out.save("abaiilogo.png")
Additional Details
Please see base model page black-forest-labs/FLUX.1-dev for all details on appropriate usage, licensing, and more.
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Base model
black-forest-labs/FLUX.1-dev