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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: ' a small, fluffy poodle with a soft, curly coat in a light cream color,sitting
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on a soft, oversized blanket, surrounded by an array of colorful storybooks
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and plush toys, with a cozy reading nook in the background. The poodle gazes
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up with a joyful expression, as if inviting you to join in on the adventure.
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LALA_HK'
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output:
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url: samples/1729759465076__000001200_0.jpg
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- text: ' a small, fluffy poodle with a soft, curly coat in a light cream color,
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A serene image of the fluffy poodle enjoying a pampering spa day, sitting
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on a plush towel surrounded by soothing candles and fragrant flowers. The
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dog has a blissful expression, showcasing its relaxed demeanor while wearing
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a cute spa headband, embodying ultimate relaxation. LALA_HK'
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output:
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url: samples/1729759495945__000001200_1.jpg
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- text: "A delightful photograph of the fluffy poodle prancing through a vibrant\
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\ garden filled with blooming flowers and fluttering butterflies. The dog\u2019\
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s curls bounce as it explores, with a playful expression that captures the\
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\ essence of a curious adventurer in a magical world.colorful ambiance, lively\
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\ energy, enchanting details, joyful exploration, nature's beauty, whimsical\
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\ spirit, LALA_HK"
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output:
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url: samples/1729759526842__000001200_2.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: LALA_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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# lala
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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 `LALA_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/lala/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/lala', weight_name='lala.safetensors')
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image = pipeline(' a small, fluffy poodle with a soft, curly coat in a light cream color,sitting on a soft, oversized blanket, surrounded by an array of colorful storybooks and plush toys, with a cozy reading nook in the background. The poodle gazes up with a joyful expression, as if inviting you to join in on the adventure. LALA_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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