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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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