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---
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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- ai-toolkit
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widget:
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- text: "Imagine this adorable dog as the star of a cozy beachside caf\xE9. Describe\
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\ a sunny afternoon where it sits patiently at a table, enjoying a special\
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\ dog-friendly treat while its owner sips coffee. Explore the atmosphere of\
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\ the caf\xE9, filled with laughter, the aroma of fresh pastries, and the\
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\ sound of waves in the background, dolby_hk"
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output:
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url: samples/1729788475592__000001100_0.jpg
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- text: Envision this dog as an adventurous underwater explorer equipped with a
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tiny, high-tech diving suit. Picture it swimming alongside colorful fish and
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vibrant coral reefs, its eyes wide with wonder. Describe its playful interactions
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with friendly sea creatures and the excitement of discovering hidden treasures
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beneath the waves,dolby_hk
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output:
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url: samples/1729788513253__000001100_1.jpg
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- text: "Imagine this fluffy black dog embarking on a seaside adventure! Describe\
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\ its excitement as it enjoys a boat ride, feeling the wind in its fur and\
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\ the spray of the ocean. Explore its curiosity about the sights and sounds\
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\ around it\u2014seagulls flying overhead, the gentle rocking of the boat,\
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\ and the vast blue horizon,dolby_hk"
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output:
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url: samples/1729788550928__000001100_2.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: dolby_hk
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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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---
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# dolby-flux
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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<Gallery />
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## Trigger words
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You should use `dolby_hk` to trigger the image generation.
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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Weights for this model are available in Safetensors format.
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[Download](/chau9ho/dolby-flux/tree/main) them in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
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pipeline.load_lora_weights('chau9ho/dolby-flux', weight_name='dolby-flux.safetensors')
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image = pipeline('Imagine this adorable dog as the star of a cozy beachside café. Describe a sunny afternoon where it sits patiently at a table, enjoying a special dog-friendly treat while its owner sips coffee. Explore the atmosphere of the café, filled with laughter, the aroma of fresh pastries, and the sound of waves in the background, dolby_hk').images[0]
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image.save("my_image.png")
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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