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  2. README.md +82 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.npz filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pickle filter=lfs diff=lfs merge=lfs -text
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+ *.pkl filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.tgz filter=lfs diff=lfs merge=lfs -text
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+ *.wasm filter=lfs diff=lfs merge=lfs -text
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+ *.xz filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zst filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.pcm filter=lfs diff=lfs merge=lfs -text
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+ *.sam filter=lfs diff=lfs merge=lfs -text
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.aac filter=lfs diff=lfs merge=lfs -text
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+ *.flac filter=lfs diff=lfs merge=lfs -text
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+ *.mp3 filter=lfs diff=lfs merge=lfs -text
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+ *.ogg filter=lfs diff=lfs merge=lfs -text
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+ *.wav filter=lfs diff=lfs merge=lfs -text
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+ # Image files - uncompressed
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+ *.bmp filter=lfs diff=lfs merge=lfs -text
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+ *.gif filter=lfs diff=lfs merge=lfs -text
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+ *.png filter=lfs diff=lfs merge=lfs -text
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+ *.tiff filter=lfs diff=lfs merge=lfs -text
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+ # Image files - compressed
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+ *.jpg filter=lfs diff=lfs merge=lfs -text
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ ---
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+ tags:
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+ - text-to-image
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+ - lora
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+ - diffusers
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+ - template:diffusion-lora
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+ widget:
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+ - output:
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+ url: images/Technically_000_.png
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+ text: >-
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+ A woman, appearing to be in her late 20s to early 30s, fair-skinned, with
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+ vibrant auburn hair styled in a vintage updo, gazes directly towards the
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+ viewer with captivating blue eyes, and full, red lips. She wears a blue
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+ dress with white polka dots and a contrasting light blue collar. A gold
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+ necklace adorns her neck, and matching gold earrings sparkle. Her right hand
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+ delicately holds the necklace. A sheep stands in the background to the left,
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+ and a stone wall forms a backdrop. The sky, partially visible, is a bright
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+ blue dotted with fluffy white clouds, enhancing the pastoral scene. The
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+ lighting is soft and natural, casting subtle shadows on her face and
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+ highlighting the textures of her dress and the rough stone wall. The overall
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+ mood is serene and idyllic, evoking a sense of calm and classic beauty,
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+ reminiscent of a portrait from the mid-20th century, with a slight vintage
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+ aesthetic.
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+ parameters:
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+ negative_prompt: >-
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+ illustration, drawing, anime, cartoon, blurry, out of focus, shallow depth
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+ of field, low quality, bad quality, low detail, mutated, jpeg artifacts,
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+ compression artifacts,
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+ - output:
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+ url: images/Technically_001_.png
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+ text: >-
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+ A fairy woman is sitting under a large red mushroom sculpture, the sculpture
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+ looks like a live mushroom giant. The fairy woman has green wings and a
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+ tiara. Beside the woman is a large toad, the load is sticking it's tongue
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+ out to catch a bumble bee in front of him. The fairy sits on a tree stump,
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+ the photo is shot like a professional fashion photoshoot. 80mm FOV captured
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+ on. Nikon DSLR camera sample. The lighting emphasize depth of the
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+ character, conveying a sense of 1950s magic and profound goodwill, depicted
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+ with a soft, diffused focus and rich, inviting tones.
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+ - output:
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+ url: images/Technically_00374_.png
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+ text: '-'
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+ - output:
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+ url: images/Technically_00382_.png
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+ text: >-
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+ Handsome 1960s teenage man, face closeup on his face professionally shot
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+ cinematic still, you can see the man's eyes and his teeth, the neck and the
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+ collar of the shirt. He's kneeling beside a fluffy husky dog near a pond, a
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+ large oak tree and a big rock in the ground. Promotional still, professional
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+ photograph.
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+ parameters:
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+ negative_prompt: >-
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+ illustration, drawing, anime, cartoon, blurry, out of focus, shallow depth
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+ of field, low quality, bad quality, low detail, mutated, jpeg artifacts,
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+ compression artifacts,
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+ base_model: Wan-AI/Wan2.2-T2V-A14B
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+ instance_prompt: t3chnic4lly
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+ license: creativeml-openrail-m
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+ ---
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+ # Technically Color WAN
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ Technically Color WAN 2.2 is meticulously crafted to capture the unmistakable essence of classic film.
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+
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+ 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.
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+
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+ 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.
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+
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+ 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.
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+
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+ ## Trigger words
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+
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+ You should use `t3chnic4lly` to trigger the image generation.
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+
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+
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+ ## Download model
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+
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+
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+ [Download](/renderartist/technically-color-wan/tree/main) them in the Files & versions tab.