README.md

---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
    url: images/Technically_000_.png
  text: >-
    A woman, appearing to be in her late 20s to early 30s, fair-skinned, with
    vibrant auburn hair styled in a vintage updo, gazes directly towards the
    viewer with captivating blue eyes, and full, red lips. She wears a blue
    dress with white polka dots and a contrasting light blue collar. A gold
    necklace adorns her neck, and matching gold earrings sparkle. Her right hand
    delicately holds the necklace. A sheep stands in the background to the left,
    and a stone wall forms a backdrop. The sky, partially visible, is a bright
    blue dotted with fluffy white clouds, enhancing the pastoral scene. The
    lighting is soft and natural, casting subtle shadows on her face and
    highlighting the textures of her dress and the rough stone wall. The overall
    mood is serene and idyllic, evoking a sense of calm and classic beauty,
    reminiscent of a portrait from the mid-20th century, with a slight vintage
    aesthetic.
  parameters:
    negative_prompt: >-
      illustration, drawing, anime, cartoon, blurry, out of focus, shallow depth
      of field, low quality, bad quality, low detail, mutated, jpeg artifacts,
      compression artifacts, 
- output:
    url: images/Technically_001_.png
  text: >-
    A fairy woman is sitting under a large red mushroom sculpture, the sculpture
    looks like a live mushroom giant. The fairy woman has green wings and a
    tiara. Beside the woman is a large toad, the load is sticking it's tongue
    out to catch a bumble bee in front of him. The fairy sits on a tree stump,
    the photo is shot like a professional fashion photoshoot. 80mm FOV captured
    on. Nikon DSLR camera sample.   The lighting emphasize depth of the
    character, conveying a sense of 1950s magic and profound goodwill, depicted
    with a soft, diffused focus and rich, inviting tones.
- output:
    url: images/Technically_00374_.png
  text: '-'
- output:
    url: images/Technically_00382_.png
  text: >-
    Handsome 1960s teenage man, face closeup on his face professionally shot
    cinematic still, you can see the man's eyes and his teeth, the neck and the
    collar of the shirt. He's kneeling beside a fluffy husky dog near a pond, a
    large oak tree and a big rock in the ground. Promotional still, professional
    photograph.
  parameters:
    negative_prompt: >-
      illustration, drawing, anime, cartoon, blurry, out of focus, shallow depth
      of field, low quality, bad quality, low detail, mutated, jpeg artifacts,
      compression artifacts, 
base_model: Wan-AI/Wan2.2-T2V-A14B
instance_prompt: t3chnic4lly
license: creativeml-openrail-m
---
# Technically Color WAN

<Gallery />

## Model description 

Technically Color WAN 2.2 is meticulously crafted to capture the unmistakable essence of classic film.

This LoRA was trained on approximately 100+ stills to excel at generating images imbued with the signature vibrant palettes, rich saturation, and dramatic lighting that defined an era of legendary classic film. This LoRA greatly enhances the depth and brilliance of hues, creating more realistic yet dreamlike textures, lush greens, brilliant blues, and sometimes even the distinctive glow seen in classic productions, making your outputs look truly like they&#39;ve stepped right off a silver screen.

v1 - Trained for 3750 steps, this version is exclusively for use on still images and will likely not perform well for T2V because video clips were not trained on, use it for text to image tasks only. I&#39;m uploading both the high and low noise variants.

A workflow is attached to first gallery image. The image results were generated with an RTX Pro 6000 and take around 4 minutes for each result. Lowering the resolution and eliminating sampler phases might improve the time, didn&#39;t try as quality was my main motivation.

## Trigger words

You should use `t3chnic4lly` to trigger the image generation.


## Download model


[Download](/renderartist/technically-color-wan/tree/main) them in the Files & versions tab.