vlu_logo

Van Lang University Logo

LoRA Adapter for black-forest-labs/FLUX.1-dev trained on 15 pictures of Van Lang University Logo with ai-toolkit

Trigger words

You should use VLU to trigger the image generation. The trigger phrase `VLU Logo with 'Van Lang University' text printed on [material].

Model Details

Some Examples

<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(1).jpg" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(2).jpg" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(3).jpg" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(1).png" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(2).png" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(3).png" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(4).png" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(4).png" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(6).png" width=512> <img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(7).png" width=512>

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/vlu_logo', weight_name='lora.safetensors')
pipeline.to("cuda")

prompt = "a photo of a female student with red polo on that there is VLU Logo with 'Van Lang University' text printed. backgound is a class."

out = pipeline(
    prompt=prompt,
    guidance_scale=3.5,
    num_inference_steps=20,
    cross_attention_kwargs={"scale": 0.7}
).images[0]

out.save("vlulogo.png")

Additional Details

Please see base model page black-forest-labs/FLUX.1-dev for all details on appropriate usage, licensing, and more.