tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
A beautiful woman sitting in a magical forest, surrounded by vibrant
greenery and glowing flowers, wearing a flowing red dress. The lighting is
soft and ethereal, with a dreamy atmosphere. Hyper-detailed, cinematic
style.
parameters:
negative_prompt: >-
A beautiful woman sitting in a magical forest, surrounded by vibrant
greenery and glowing flowers, wearing a flowing red dress. The lighting
is soft and ethereal, with a dreamy atmosphere. Hyper-detailed,
cinematic style.
output:
url: images/1.jpeg
- text: >-
A close-up portrait of a blonde woman with a confident expression, set
against a neon-lit cityscape at night. Vibrant colors with a bokeh effect
in the background, sharp focus on the face, cinematic lighting.
parameters:
negative_prompt: Blurry background, dull colors, poor focus, unbalanced lighting.
output:
url: images/22-12-2024-first-ki-lady-own-design.jpg
- text: >-
A stunning woman with long red hair, wearing a sleek green dress, standing
in a futuristic corridor with glowing neon lights. High-tech and cyberpunk
vibes, sharp focus, vibrant colors.
parameters:
negative_prompt: >-
lurry details, washed-out colors, inconsistent lighting, distorted
anatomy.
output:
url: images/26.jpg
- text: >-
A stylish woman with blue hair, sitting elegantly on a modern chair in a
minimalist room, wearing a chic blue dress. The lighting is warm and soft,
emphasizing the textures and colors.
parameters:
negative_prompt: Blurry image, harsh lighting, cluttered background, dull colors.
output:
url: >-
images/A_stunning_25_year_old_woman_with_long_blue_hair__wearing_a_mini_skirt_S1671993825_St70_G9.jpeg
base_model: strangerzonehf/Flux-Midjourney-Mix2-LoRA
instance_prompt: >-
realistic, artistic, concept art, hyper-detailed, cinematic, vibrant colors,
minimalist, futuristic, fantasy, surreal, anime-style, watercolor, 3D render,
landscape
license: apache-2.0
Pix74
Model description
Pix74 is a cutting-edge AI model designed specifically for text-to-image applications. Built on the robust foundation of strangerzonehf/Flux-Midjourney-Mix2-LoRA, Pix74 seamlessly blends the flexibility and precision of LoRA technology with the creativity and diversity of the Flux-Midjourney-Mix series. Key Features:
Creative Versatility: Pix74 generates realistic and artistic images suitable for various applications, ranging from PR and event projects to illustrations and concept art. Efficient Fine-Tuning: With LoRA technology, the model can be quickly adapted to specific needs without requiring extensive resources. User-Friendly Integration: Optimized for smooth integration into existing workflows, whether for corporate or creative projects. Compact Performance: Despite its powerful architecture, Pix74 remains resource-efficient, making it suitable for hardware with limited capacities.
Use Cases:
Design and Illustration: Craft unique designs for graphics and promotional materials. Content Creation: Support the development of visual content for social media and online platforms. Creative Experiments: Explore new visual styles and artistic expressions.
Trigger words
You should use realistic
to trigger the image generation.
You should use artistic
to trigger the image generation.
You should use concept art
to trigger the image generation.
You should use hyper-detailed
to trigger the image generation.
You should use cinematic
to trigger the image generation.
You should use vibrant colors
to trigger the image generation.
You should use minimalist
to trigger the image generation.
You should use futuristic
to trigger the image generation.
You should use fantasy
to trigger the image generation.
You should use surreal
to trigger the image generation.
You should use anime-style
to trigger the image generation.
You should use watercolor
to trigger the image generation.
You should use 3D render
to trigger the image generation.
You should use landscape
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.