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README.md
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language:
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- en
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tags:
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- diffusers
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- lora
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# prompt
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# output:
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# url: https://...
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instance_prompt: VLU
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#
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Trained on Replicate using:
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You should use `VLU` to trigger the image generation.
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline.load_lora_weights('dtthanh/vlu_logo', weight_name='lora.safetensors')
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```
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- flux
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base_model: black-forest-labs/FLUX.1-dev
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license: creativeml-openrail-m
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library_name: diffusers
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---
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# Van Lang University Logo
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LoRA Adapter for [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) trained on 15 pictures of Van Long University Logo with [ai-toolkit](https://github.com/ostris/ai-toolkit/tree/main)
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## Trigger words
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You should use `VLU` to trigger the image generation. The trigger phrase `VLU Logo with 'Van Lang University' text printed on [material].
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# Model Details
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**Some Examples**
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(1).jpg" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(2).jpg" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(3).jpg" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(1).png" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(2).png" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(3).png" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(4).png" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(4).png" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(6).png" width=512>
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<img src="https://huggingface.co/dtthanh/vlu_logo/resolve/main/VLU_logo%20(7).png" width=512>
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# Usage
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With diffusers package
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*Note: FLUX uses ~70GBvram when loaded directly with diffusers*
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*Note: Recommended to load at ~70% scale for best results*
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```python
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from diffusers import DiffusionPipeline
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pipeline = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
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pipeline.load_lora_weights('dtthanh/vlu_logo', weight_name='lora.safetensors')
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pipeline.to("cuda")
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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."
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out = pipeline(
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prompt=prompt,
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guidance_scale=3.5,
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num_inference_steps=20,
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cross_attention_kwargs={"scale": 0.7}
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).images[0]
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out.save("vlulogo.png")
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```
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# Additional Details
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Please see base model page [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) for all details on appropriate usage, licensing, and more.
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