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---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- tensorart
widget:
- text: 3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750
output:
url: images/11.png
- text: >-
cartoon 3D sunny bright Pixar-style image : super hero : full costume :
cinematic --ar 68:128 --stylize 750 --v 5.2
output:
url: images/22.png
- text: >-
A young man with light brown wavy hair and light brown eyes sitting in an
armchair and looking directly at the camera, pixar style, disney pixar,
office background, ultra detailed, 1 man
output:
url: images/33.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Pixar
license: apache-2.0
---
# Canopus-Pixar-Art
<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.**
| Parameter | Description |
|---------------------|------------------------------------------------------|
| **Space Name** | The-Pixar |
| **Hosted on** | [⚡Hugging Face Spaces⚡](https://huggingface.co/spaces/prithivmlmods/the-pixar) |
| **Default Theme** | Light by Defalut / Can be altered |
| **Description** | The-Pixar provides pixar image generation capabilities with a focus on high-quality outputs. |
## 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 | 28 |
| Epoch | 12 | 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-Pixar-Art", weight_name="Canopus-Pixar-Art.safetensors", adapter_name="pixar")
pipe.set_adapters("pixar")
pipe.to("cuda")
```
## Trigger prompts
3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750
cartoon 3D sunny bright Pixar-style image : super hero : full costume : cinematic --ar 68:128 --stylize 750 --v 5.2
A young man with light brown wavy hair and light brown eyes sitting in an armchair and looking directly at the camera, pixar style, disney pixar, office background, ultra detailed, 1 man
| Parameter | Value |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt | 3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750 |
| Sampler | euler |
## Trigger words
**Triggering: The scenario is best for triggers in the prompt or string: Pixar-style, Pixar-3D, Pixar-HD, Pixar-4K, Pixar.**
You should use `Pixar` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Canopus-Pixar-Art/tree/main) them in the Files & versions tab.
|