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Updated: Oct 4, 2024

stylelandscapes

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fp16 PickleTensor

sjh_style_v1_iter1500.ckpt

Half precision, best balance • 3.97 GB

Verified:

Type
Checkpoint Trained
Stats

169

Reviews
Published

Nov 28, 2022

Base Model

SD 1.5

Training
Steps: 1,500
Hash
AutoV2
A6A738DCA7
Trigger Words
sjh style
default creator card background decoration
Followers - 210

210

Likes - 1399

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v1_512x512_t4x5.png

Originally posted to HuggingFace by ProGamerGov

This fine-tuned Stable Diffusion v1.5 model was trained for 2250 iterations with a batch size of 4, on a selection of artistic works by Sin Jong Hun. Training was performed using ShivamShrirao/diffusers with full precision, prior-preservation loss, the train-text-encoder feature, and the new 1.5 MSE VAE from Stability AI. A total of 4120 regularization / class images were used from here. Regularization images were generated using the prompt "artwork style", 50 DDIM steps, and a CFG of 7.

Use the tokens sjh style in your prompts for the effect. Note that the effect also appears to occur at a much weaker strength on prompts that steer the output towards specific artistic styles.

This model will likely not perform well on generating portraits and related tasks, as the training data was primarily composed of landscapes.

Example images were generated with the v1 2250 iteration model using 50 steps of DPM++ 2M Karras with a format of:

<prompt>, sjh style