metadata
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’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
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 them in the Files & versions tab.
Use it with the 🧨 diffusers library
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