---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: 'A pig is standing in the grass next to a red barn, in the style of playful expressions, light white and pink, candid, close up, motion blur --ar 64:45 --v 6.0 --style raw'
  output:
    url: images/555.png
- text: 'Small calf standing in field at sunset, in the style of y2k aesthetic, baroque animals, rusticcore, beige and amber, flickr, petcore --ar 2:3 --style raw --v 5.1'
  output:
    url: images/666.png
- text: 'Dog walking in the grass near the mountain, in the style of maurizio cattelan, contax t2, strong facial expression, monumental vistas, associated press photo, close-up, frenchy --ar 3:2 --style raw --v 5.1'
  output:
    url: images/777.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: animal, bird, cub
license: apache-2.0
---
# Canopus-Animaliea-Artism

<Gallery />

**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**

## Model description 

Canopus-Pixar-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                    | 25     |
| Epoch                     | 13     | Save Every N Epochs       | 1      |

## SETTING-UP

```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-Animaliea-Artism", weight_name=" Canopus-Animaliea-Artism.safetensors", adapter_name="Animaliea")
    pipe.set_adapters("Animaliea")
    pipe.to("cuda")
```

## Trigger prompts

    A pig is standing in the grass next to a red barn, in the style of playful expressions, light white and pink, candid, close up, motion blur --ar 64:45 --v 6.0 --style raw


    Small calf standing in field at sunset, in the style of y2k aesthetic, baroque animals, rusticcore, beige and amber, flickr, petcore --ar 2:3 --style raw --v 5.1


    Dog walking in the grass near the mountain, in the style of maurizio cattelan, contax t2, strong facial expression, monumental vistas, associated press photo, close-up, frenchy --ar 3:2 --style raw --v 5.1

| Parameter       | Value                                                                                 |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt          | A pig is standing in the grass next to a red barn, in the style of playful expressions, light white and pink, candid, close up, motion blur --ar 64:45 --v 6.0 --style raw |
| Sampler         | euler             |                                       
## Trigger words

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

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

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


## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Canopus-Animaliea-Artism/tree/main) them in the Files & versions tab.