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FeverDream-v1
FeverDream

FeverDream

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This is a fine tuning of SD1.5 and designed as a general purpose model trained on high quality photographs and traditional artworks upscaled and denoised before training to get the sharpest cleanest results possible. It's trained at 576 resolution using the offset noise fix so generations are sharp and detailed with vibrant colors, deep blacks, and a well balanced contrast.

This model was not trained with A.I. generated images or merged with any other models which means your images won't have that green/aqua color cast seen in so many models today.

The largest portion of the dataset consists of photographs of women, men, gorgeous landscapes, and luxurious home/cabin/hotel interiors, some abandoned buildings and cityscapes, followed by a few unique art styles that can most easily be discovered by prompting with the commonly used words below.

Some tips for realistic images: avoid using the word "realistic," part of the dataset contains "realistic porcelain dolls" and the weights for "realistic" have shifted in the direction of the dolls. It shouldn't be an issue but If your faces look a bit smoother than you like try throwing the word "doll" in the negative prompt. This model is great at both high detailed realism and stylized images when prompted correctly.

A few commonly used words found in the training dataset include:

Papercut

Liquid Splash

Realistic Porcelain Doll

Interior

Landscape

...and a few others for you to discover.

If your so inclined to leave a tip I'm happy to accept Monero at this address: 82s3fk8bQB2DHJ3r9idZUsST1Dvf5cKKC6Fu87rYgV9dAFbCbAcXMPXaP59yDwWzRXfYfTBszHZno6xGwDb17xUzEkCsAah

HuggingFace: https://huggingface.co/Cosmo-Hug/FeverDream

Thanks for checking out my model, feedback and advise for future updates are appreciated, enjoy!

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Mitteilung
2023-05-06
Modell veröffentlichen
2026-01-03
Modellinformationen aktualisieren
Modelldetails
Typ
Checkpoint
Veröffentlichungsdatum
2023-05-06
Basismodelle
SD 1.5
Auslösewörter
liquid splash
papercut
porcelain doll
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Source-Modell: civitai

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