fix(api): reduce copies, fix function signatures
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@ -13,21 +13,6 @@ def blend_imult(a):
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return 1.0 - blend_mult(a)
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def blend_mask_source(source: Tuple[int, int, int], mask: Tuple[int, int, int], noise: Tuple[int, int, int]) -> Tuple[int, int, int]:
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'''
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Blend operation, linear interpolation from noise to source based on mask: `(s * (1 - m)) + (n * m)`
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Black = noise
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White = source
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'''
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return (
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int((source[0] * blend_mult(mask[0])) +
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(noise[0] * blend_imult(mask[0]))),
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int((source[1] * blend_mult(mask[1])) +
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(noise[1] * blend_imult(mask[1]))),
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int((source[2] * blend_mult(mask[2])) +
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(noise[2] * blend_imult(mask[2]))),
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)
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def blend_source_mask(source: Tuple[int, int, int], mask: Tuple[int, int, int], noise: Tuple[int, int, int]) -> Tuple[int, int, int]:
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'''
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Blend operation, linear interpolation from source to noise based on mask: `(s * (1 - m)) + (n * m)`
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@ -44,14 +29,20 @@ def blend_source_mask(source: Tuple[int, int, int], mask: Tuple[int, int, int],
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)
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def mask_filter_gaussian(mask_image: Image, dims: Tuple[int, int], origin: Tuple[int, int], rounds=3) -> Tuple[float, float, float]:
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def mask_filter_none(mask_image: Image, dims: Tuple[int, int], origin: Tuple[int, int], fill='white') -> Image:
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width, height = dims
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noise = Image.new('RGB', (width, height), fill)
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noise.paste(mask_image, origin)
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return noise
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def mask_filter_gaussian(mask_image: Image, dims: Tuple[int, int], origin: Tuple[int, int], rounds=3) -> Image:
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'''
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Gaussian blur, source image centered on white canvas.
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'''
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width, height = dims
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noise = Image.new('RGB', (width, height), 'white')
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noise.paste(mask_image, origin)
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noise = mask_filter_none(mask_image, dims, origin)
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for i in range(rounds):
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blur = noise.filter(ImageFilter.GaussianBlur(5))
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@ -60,7 +51,7 @@ def mask_filter_gaussian(mask_image: Image, dims: Tuple[int, int], origin: Tuple
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return noise
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def noise_source_fill(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int], fill='white') -> Tuple[float, float, float]:
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def noise_source_fill(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int], fill='white') -> Image:
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'''
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Identity transform, source image centered on white canvas.
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'''
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@ -72,7 +63,7 @@ def noise_source_fill(source_image: Image, dims: Tuple[int, int], origin: Tuple[
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return noise
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def noise_source_gaussian(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int], rounds=3) -> Tuple[float, float, float]:
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def noise_source_gaussian(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int], rounds=3) -> Image:
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'''
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Gaussian blur, source image centered on white canvas.
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'''
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@ -85,7 +76,7 @@ def noise_source_gaussian(source_image: Image, dims: Tuple[int, int], origin: Tu
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return noise
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def noise_source_uniform(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int]) -> Tuple[float, float, float]:
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def noise_source_uniform(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int]) -> Image:
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width, height = dims
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size = width * height
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@ -107,7 +98,7 @@ def noise_source_uniform(source_image: Image, dims: Tuple[int, int], origin: Tup
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return noise
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def noise_source_normal(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int]) -> Tuple[float, float, float]:
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def noise_source_normal(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int]) -> Image:
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width, height = dims
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size = width * height
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@ -129,7 +120,7 @@ def noise_source_normal(source_image: Image, dims: Tuple[int, int], origin: Tupl
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return noise
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def noise_source_histogram(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int]) -> Tuple[float, float, float]:
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def noise_source_histogram(source_image: Image, dims: Tuple[int, int], origin: Tuple[int, int]) -> Image:
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r, g, b = source_image.split()
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width, height = dims
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size = width * height
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@ -180,9 +171,9 @@ def expand_image(
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full_source = Image.new('RGB', dims, fill)
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full_source.paste(source_image, origin)
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full_mask = Image.new('RGB', dims, fill)
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full_mask = mask_filter_gaussian(full_mask, dims, origin)
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full_mask.paste(mask_image, origin)
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full_mask = mask_filter(mask_image, dims, origin)
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# full_mask = Image.new('RGB', dims, fill)
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# full_mask.paste(mask_image, origin)
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full_noise = noise_source(source_image, dims, origin)
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@ -29,7 +29,18 @@ from struct import pack
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from os import environ, makedirs, path, scandir
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from typing import Any, Dict, Tuple, Union
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from .image import expand_image, noise_source_gaussian, noise_source_histogram, noise_source_normal, noise_source_fill, noise_source_uniform, blend_source_mask, blend_imult, blend_mask_source, blend_mult
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from .image import (
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expand_image,
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# mask filters
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mask_filter_gaussian,
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mask_filter_none,
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# noise sources
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noise_source_gaussian,
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noise_source_histogram,
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noise_source_normal,
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noise_source_fill,
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noise_source_uniform,
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)
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import json
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import numpy as np
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@ -79,9 +90,9 @@ noise_sources = {
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'normal': noise_source_normal,
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'uniform': noise_source_uniform,
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}
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blend_modes = {
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'mask-source': blend_mask_source,
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'source-mask': blend_source_mask,
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mask_filters = {
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'none': mask_filter_none,
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'gaussian': mask_filter_gaussian,
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}
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@ -294,7 +305,7 @@ def run_inpaint_pipeline(
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top: int,
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bottom: int,
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noise_source: Any,
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blend_op: Any
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mask_filter: Any
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):
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pipe = load_pipeline(OnnxStableDiffusionInpaintPipeline,
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model, provider, scheduler)
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@ -309,7 +320,7 @@ def run_inpaint_pipeline(
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mask_image,
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(left, right, top, bottom),
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noise_source=noise_source,
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blend_op=blend_op)
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mask_filter=mask_filter)
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if environ.get('DEBUG') is not None:
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source_image.save('./last-source.png')
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@ -391,9 +402,9 @@ def introspect():
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}
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@app.route('/api/settings/blends')
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def list_blend_sources():
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return jsonify(list(blend_modes.keys()))
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@app.route('/api/settings/masks')
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def list_mask_filters():
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return jsonify(list(mask_filters.keys()))
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@app.route('/api/settings/models')
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@ -505,9 +516,9 @@ def inpaint():
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bottom = get_and_clamp_int(
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request.args, 'bottom', 0, config_params.get('height').get('max'), 0)
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mask_filter= get_from_map(request.args, 'filter', mask_filters, 'none')
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noise_source = get_from_map(
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request.args, 'noise', noise_sources, 'histogram')
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blend_op = get_from_map(request.args, 'blend', blend_modes, 'mask-source')
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(output_file, output_full) = make_output_path(
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'inpaint', seed, (prompt, cfg, steps, height, width, seed, left, right, top, bottom))
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@ -536,7 +547,7 @@ def inpaint():
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top,
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bottom,
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noise_source,
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blend_op)
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mask_filter)
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return jsonify({
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'output': output_file,
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