纪念碑谷
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纪念碑谷
0 0 1

Architectural

3D

纪念碑谷

Recommended Settings

Sampler: Euler A

1.Hires. fix(pix): RealESRGAN_x4plus_anime_6B

Denoising strength: 0.2-0.45

2.Hires. fix(Latent): Latent( nearest )

Denoising strength: 0.5 or more (doesn't always work out well by using latent upscale, you can experiment a little)

Clip Skip 2

Upscale by 1.3-2.0

recommended weight: 0.4-1 (Higher weight means more like the original style and less flexible)

Try these tags

xxx on the roof

stairs

building

pillar

resources: JuggernautXL

It can help to generate more realistic images. check my posts, which contain metadata and workflows

This model is sourced from an external transfer (transfer address: https://civitai.com/models/358217/monument-valley-style?modelVersionId=400420 ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request

user_uhorlfsx

user_uhorlfsx

Architectural

3D

Model Information

Original author：
Patrick Lam
Model Type：
LoRA
Basic Model：
SDXL 1.0
Trigger Words：
<lora:Monument Valley style>

Recommended Settings

Sampler: Euler A

1.Hires. fix(pix): RealESRGAN_x4plus_anime_6B

Denoising strength: 0.2-0.45

2.Hires. fix(Latent): Latent( nearest )

Denoising strength: 0.5 or more (doesn't always work out well by using latent upscale, you can experiment a little)

Clip Skip 2

Upscale by 1.3-2.0

recommended weight: 0.4-1 (Higher weight means more like the original style and less flexible)

Try these tags

xxx on the roof

stairs

building

pillar

resources: JuggernautXL

It can help to generate more realistic images. check my posts, which contain metadata and workflows

This model is sourced from an external transfer (transfer address: https://civitai.com/models/358217/monument-valley-style?modelVersionId=400420 ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request