--- 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 **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.