README.md

metadata

tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
widget:
  - text: >-
      Illustration of Mountain climbers ascending a challenging peak. One-point
      perspective, Abstract background, Solarpunk theme, Lithography, Stencil
      effects, Caustics, UHD
    output:
      url: images/lw1.png
  - text: >-
      Illustration of A starry night camp in the mountains. Low-angle view,
      Minimal background, Geometric shapes theme, Pottery, Split-complementary
      colors, Bicolored light, UHD
    output:
      url: images/lw2.png
  - text: >-
      Illustration of A serene mountain stream or waterfall. L-cut, Diamond
      pattern background, Chibi, Gouache, Tetradic colors, Flickering light, UHD
    output:
      url: images/lw3.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: wallpaper
license: creativeml-openrail-m

Canopus-Liquid-Wallpaper

Prompt

Illustration of Mountain climbers ascending a challenging peak. One-point perspective, Abstract background, Solarpunk theme, Lithography, Stencil effects, Caustics, UHD

Prompt

Illustration of A starry night camp in the mountains. Low-angle view, Minimal background, Geometric shapes theme, Pottery, Split-complementary colors, Bicolored light, UHD

Prompt

Illustration of A serene mountain stream or waterfall. L-cut, Diamond pattern background, Chibi, Gouache, Tetradic colors, Flickering light, UHD.

Model description

Canopus-Liquid-Wallpaper-Art

Image Processing Parameters

Parameter	Value	Parameter	Value
LR Scheduler	constant	Noise Offset	0.03
Optimizer	AdamW	Multires Noise Discount	0.1
Network Dim	64	Multires Noise Iterations	10
Network Alpha	32	Repeat	27
Epoch	10	Save Every N Epochs	1

SETTING-UP

for better results use it with the base model / others ```py pipe = StableDiffusionXLPipeline.from_pretrained( "-------------xxxxxxxxx----------", torch_dtype=torch.float16, use_safetensors=True, ) (or)

pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16,
    use_safetensors=True,
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)

pipe.load_lora_weights("prithivMLmods/Canopus-Liquid-Wallpaper-Art", weight_name="Canopus-Liquid-Wallpaper-Minimalize-LoRA.safetensors", adapter_name="liquid")
pipe.set_adapters("liquid")
pipe.to("cuda")

## Trigger prompts

    Illustration of Mountain climbers ascending a challenging peak. One-point perspective, Abstract background, Solarpunk theme, Lithography, Stencil effects, Caustics, UHD


    Illustration of A starry night camp in the mountains. Low-angle view, Minimal background, Geometric shapes theme, Pottery, Split-complementary colors, Bicolored light, UHD


    Illustration of A serene mountain stream or waterfall. L-cut, Diamond pattern background, Chibi, Gouache, Tetradic colors, Flickering light, UHD

| Parameter       | Value                                                                                 |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt          | Illustration of A serene mountain stream or waterfall. L-cut, Diamond pattern background, Chibi, Gouache, Tetradic colors, Flickering light, UHD |
| Sampler         | euler                                                                                 |



## Trigger words

You should use `wallpaper` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Canopus-Liquid-Wallpaper-Art/tree/main) them in the Files & versions tab.