---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- StableDiffusionXLPipeline
- Inference Endpoints
- sdxl
widget:
- text: >-
    A Dog, a simple vector illustration in the style of dark and sublime,
    against a light green background
  output:
    url: images/dw1.png
- text: >-
    A small monkey standing on a womans shoulder, in the style of darkly
    romantic illustrations, muted tones, surrealism, bold shadows, flat, animals
    and people, mysterious jungle, editorial illustrations, caravaggesque
    chiaroscuro --ar 61:75 --v 5
  output:
    url: images/dw.png
- text: >-
    Dog , colorful cartoon style, high resolution vector, in the style of
    simplified and stylized illustrations
  output:
    url: images/dw2.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: art, illustration
license: creativeml-openrail-m
---
# Art-Medium

<Gallery />


## Model description 

Canopus-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                    | 20     |
| Epoch                     | 15     | Save Every N Epochs       | 1      |


## SETTING-UP
```py
    pipe = StableDiffusionXLPipeline.from_pretrained(
        "------------------------------",
        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-Art-Medium-LoRA", weight_name="prithivMLmods/Canopus-Art-Medium-LoRA.safetensors", adapter_name="mdm")
    pipe.set_adapters("mdm")
    pipe.to("cuda")
```
 
## Trigger words

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

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

| Parameter       | Value                                                                                 |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt          | An illustration of a deer with large antlers, in the style of 18th century, dark gray and light brown, realistic renderings of the human form, 1860–1969, bengal school of art, die brücke, angura kei --ar 258:197 --v 5.1 --style raw |
| Sampler         | euler                                                                                 |

## Download model

Weights for this model are available in Safetensors format.

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