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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: ' 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'
output:
url: samples/1729759465076__000001200_0.jpg
- text: ' a small, fluffy poodle with a soft, curly coat in a light cream color,
A serene image of the fluffy poodle enjoying a pampering spa day, sitting
on a plush towel surrounded by soothing candles and fragrant flowers. The
dog has a blissful expression, showcasing its relaxed demeanor while wearing
a cute spa headband, embodying ultimate relaxation. LALA_HK'
output:
url: samples/1729759495945__000001200_1.jpg
- text: "A delightful photograph of the fluffy poodle prancing through a vibrant\
\ garden filled with blooming flowers and fluttering butterflies. The dog\u2019\
s curls bounce as it explores, with a playful expression that captures the\
\ essence of a curious adventurer in a magical world.colorful ambiance, lively\
\ energy, enchanting details, joyful exploration, nature's beauty, whimsical\
\ spirit, LALA_HK"
output:
url: samples/1729759526842__000001200_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: LALA_HK
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# lala
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `LALA_HK` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](/chau9ho/lala/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('chau9ho/lala', weight_name='lala.safetensors')
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]
image.save("my_image.png")
```
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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