SDXL Pixar
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Gallery
About
SDXL Pixar is a fine-tuned text-to-image and image-to-image model that creates high-quality, Pixar-inspired poster art, characters, and scenes from simple prompts or reference images. Designed for creators who want the vibrant, expressive look of Pixar animation without lengthy manual illustration, it produces cinematic lighting, rich compositions, and emotionally readable characters ideal for concept exploration, promotional art, and pre-visualization. Users can provide text prompts or use an input image for img2img workflows, including inpainting with masks to modify or refine parts of an image. Generation parameters such as image size, seed, guidance scale, and inference steps let you balance creativity and fidelity; optional refinement passes and LoRA weights enable further stylistic tuning or detail enhancement. Practically, SDXL Pixar helps artists and designers iterate quickly on character designs, poster concepts, mood frames, and scene compositions, reducing the time from idea to polished visual. It’s well-suited for marketing mockups, pitch illustrations, concept art, and storyboarding where a recognizable Pixar-like aesthetic is desired. Because it’s specialized, the model excels at the specific stylized look but may be less effective for unrelated visual styles. Outputs are static images — animators will still need separate tools or pipelines for motion. Also, like other high-fidelity generators, best results come from clear, descriptive prompts and adequate compute for higher-resolution renders. Available through platforms that integrate SDXL models, SDXL Pixar combines ease of use with deep style adherence, giving creators a practical tool for producing polished, Pixar-inspired visuals quickly and with fine control over the final image.
Percs
High quality
Multi-modal
Customizable
Support file upload
Supports references
Settings
Width- Width of output image
Height- Height of output image
Negative Prompt- Input Negative Prompt
Number of Images- Number of images to output
Guidance Scale- Scale for classifier-free guidance
Inference Steps- Number of denoising steps
Scheduler- Scheduler algorithm for denoising
LoRA Scale- LoRA additive scale. Only applicable on trained models
Seed- Random seed. Leave blank to randomize the seed
Refine- Refiner model to use
High Noise Fraction- For expert_ensemble_refiner, the fraction of noise to use
Apply Watermark- Applies a watermark to enable determining if an image is generated
Disable Safety Checker- Disable safety checker for generated images
Prompt Strength- Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image