Noisy_Element_XL版本v1 (ID: 362534)

Noisy_Element_XL版本v1 (ID: 362534)

Spent a literal week training this model locally, since I had great difficulty training it online.

This was trained on 500+ images in 4 specific categories: full body, close up, Victorian, and Monet (the painter, not me lol). Therefore, this checkpoint technically has 4 triggers, just like a LoRA.

This model has the SDXL LCM LoRA and SDXL VAE baked into it, therefore there's no need to use external VAEs or LCM LoRA to get a good result. I'd intended to prune this model, but I'm not sure if it actually did prune it. (To be fair, I'm not sure what a pruned SDXL checkpoint would look like; I simply tried it to see if I couldn't reduce the file size.)

If you're doing a close-up portrait of a face, or simply using ADetailer to refine faces, it's highly recommended to use the "close up" trigger prompt, though it can perform without the trigger word.

I'd had rough experiences with SDXL in the past whenever I tried making images with full body shots, thus I tried to rectify it here. The prompt "full body" is a trigger word which should facilitate the full body landscape shots I'm fond of.

Recommended Usage:

Set the sampler to LCM, reduce the CFG to 1-2, reduce the steps to 8-16, and then generate at will.

If you insist on using non-LCM samplers, then be sure to increase the steps to about 30. But it is of my opinion that this model has worse artifacts than the SD1.5 version when using non-LCM samplers, so be aware of that.

描述:

This is essentially the LCM version of VAXL.

The trigger words Monet, close up, full body, and Victorian are independent from each other and are optional.

训练词语: Monet,close up,full body,Victorian

名称: noisyElementXL_v1.safetensors

大小 (KB): 6938816

类型: Model

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

Noisy_Element_XL

Noisy_Element_XL

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