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# Summary of the change - new Scene-to-Image tab - new scn2img function - functions for loading and running monocular_depth_estimation with tensorflow # Description (relevant motivation, which issue is fixed) Related to discussion #925 > Would it be possible to have a layers system where we could do have foreground, mid, and background objects which relate to one another and share the style? So we could say generate a landscape, one another layer generate a castle, and on another layer generate a crowd of people. To make this work I made a prompt-based layering system in a new "Scene-to-Image" tab. You write a a multi-line prompt that looks like markdown, where each section declares one layer. It is hierarchical, so each layer can have their own child layers. Examples: https://imgur.com/a/eUxd5qn  In the frontend you can find a brief documentation for the syntax, examples and reference for the various arguments. Here a short summary: Sections with "prompt" and child layers are img2img, without child layers they are txt2img. Without "prompt" they are just images, useful for mask selection, image composition, etc. Images can be initialized with "color", resized with "resize" and their position specified with "pos". Rotation and rotation center are "rotation" and "center". Mask can automatically be selected by color or by estimated depth based on https://huggingface.co/spaces/atsantiago/Monocular_Depth_Filter.  # Additional dependencies that are required for this change For mask selection by monocular depth estimation tensorflow is required and the model must be cloned to ./src/monocular_depth_estimation/ Changes in environment.yaml: - einops>=0.3.0 - tensorflow>=2.10.0 Einops must be allowed to be newer for tensorflow to work. # Checklist: - [x] I have changed the base branch to `dev` - [x] I have performed a self-review of my own code - [x] I have commented my code in hard-to-understand areas - [x] I have made corresponding changes to the documentation Co-authored-by: hlky <106811348+hlky@users.noreply.github.com>
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// blend it together and finish it with details prompt: cute happy orange cat sitting at beach, beach in background, trending on artstation:1 cute happy cat:1 sampler_name:k_euler_a ddim_steps: 35 denoising_strength: 0.55 variation: 3 initial_seed: 1
put foreground onto background
size: 512, 512 color: 0,0,0
create foreground
size:512,512 color:0,0,0,0 resize: 300, 300 pos: 256, 350
// select mask by probing some pixels from the image mask_by_color_at: 15, 15, 15, 256, 85, 465, 100, 480 mask_by_color_threshold:80 mask_by_color_space: HLS
// some pixels inside the cat may be selected, remove them with mask_open mask_open: 15
// there is still some background pixels left at the edge between cat and background // grow the mask to get them as well mask_grow: 15
// we want to remove whatever is masked: mask_invert: True
prompt: cute happy orange cat, white background ddim_steps: 25 variation: 1
create background
prompt:beach landscape, beach with ocean in background, photographic, beautiful:1 red:-0.4