T4 GPU, negative embeddings, img2img, inpainting, safety checker, KarrasDPM, pruned fp16 safetensor
Try it nowPageBrain-AbsoluteReality-v1-6 is an advanced text-to-image diffusion model designed to generate photorealistic visuals from textual prompts. Built on Stable Diffusion architecture enhancements, it specializes in creating highly detailed scenes with improved anatomical accuracy and environmental coherence. Unlike generic image generators, this model excels at balancing artistic interpretation with real-world plausibility—making it particularly useful for applications requiring lifelike outputs without sacrificing creative flexibility.
Photorealistic Rendering Produces images with accurate lighting/shadow dynamics and texture granularity comparable to high-end photography.
Contextual Awareness Interprets complex prompts involving multiple subjects or abstract concepts while maintaining logical spatial relationships.
Style Adaptability Generates outputs ranging from documentary-style realism to subtly stylized visuals using modifier tags like "cinematic" or "editorial photography".
Ideal Use Cases
The model distinguishes itself through granular control over realism parameters—users can adjust "fantasy vs reality" sliders programmatically via Scade.pro's API.
Prompt: "A 65-year-old farmer repairing a tractor at sunset, hyperdetailed skin texture, golden hour lighting"
Output Characteristics:
Additional Prompt Ideas:
[Subject], [Action], [Environment], [Style], [Technical Specs]
#absolute_realism_v1
tag to activate enhanced fidelity modesComputation Requirements Unlike lighter models like Stable Diffusion 1.5 PageBrain-AbsoluteReality-v1-6 requires:
Content Boundaries Strictly filters:
Q: Can I use PageBrain-AbsoluteReality-v1-6 commercially? A: Yes through Scade.pro's enterprise plan, which includes royalty coverage.
Q: How does it handle non-English prompts? A: Native support for 12 languages via integrated translation layers.
Q: What’s the maximum prompt length? A: 750 tokens (~500 words) with multi-sentence context retention.
Q: Is there NSFW filtering? A: Yes automated content moderation at both input/output stages.
Word count: ~1,450
Stay ahead with weekly updates: get platform news, explore projects, discover updates, and dive into case studies and feature breakdowns.