Atmosheric Storytelling & Style Iteration
The Original Rendering
Stable Diffusion
Extras
: Ruins,Abandoned building
Theme: Nature Reclaiming (Atmospheric Narrative)
1. The Control: Structural Scaffolding- Method:
ControlNet: Depth (Midas) - Logic: By utilizing Depth-midas mapping, I established a rigid geometric "scaffolding" for the scene. This technique preserves the architectural massing and spatial perspective, ensuring that the structural logic remains intact even when complex environmental noise (like ruins and vegetation) is introduced.
- Architectural Value: This allows for extreme atmospheric stress-testing without compromising the underlying design intent or volume.
2. The Prompt: Semantic Guidance & Narrative Layering
- Core Parameters:
Overgrown ruins, Post-apocalyptic landscape, Cinematic photo 16k, Rusted metal beams. - Negative Strategy: Implemented strict negative embeddings (e.g.,
drawing, blurry, soft) to suppress artistic abstractions and prioritize 35mm cinematic realism. - Design Intent: Defining the intersection of "Urban Decay" and "Natural Re-growth." I used high-weight prompts to simulate the degradation of materials (stone, metal, glass) over time, exploring the aesthetic of abandonment.
3. The Result: High-Fidelity Refinement (Upscaling Workflow)
- Hires. fix: Applied during the initial generation to resolve complex distant details and eliminate visual artifacts often found in lower-resolution outputs.
- Ultimate SD Upscale (Tile Diffusion): Employed a Tiled Diffusion workflow to bypass VRAM limitations. This process breaks the 16k canvas into sub-grids, injecting micro-textures (moss fibers, rust pitting, shattered glass shards) into each tile for a seamless, super-resolution finish.
- Post-Process (Extras): Final enhancement using the
R-ESRGAN 4x+ algorithm to sharpen textures, resulting in a client-ready, high-fidelity visualization that maintains clarity at large scales.