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basic.py
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import flet
from flet import Page
import torch
from diffusers import StableDiffusionPipeline, StableDiffusionImg2ImgPipeline
import base64
from io import BytesIO
from PIL import Image
import time
import copy
import glob
from menu import menubar
height = 500
width = 800
class setting_page():
def __init__(self, page:flet.Page) -> None:
self.page = page
self.setting_tag = flet.Row([
flet.Icon(name=flet.icons.SETTINGS_ROUNDED),
flet.Text("Setting", size=16)
])
def update(self):
pass
def get_use_width(self) -> int:
return int(self.page.window_width - 50)
def resize(self):
pass
def show(self):
pass
def hide(self):
pass
class input_layer(setting_page):
def __init__(self, page:flet.Page, params:dict) -> None:
super().__init__(page)
self.type_name = "input"
self.page = page
self.params = params
self.setting_width = self.get_use_width() // 4.3
self.setting_menu = flet.Column(
[
flet.Text("", size=0),
flet.Text("input image", size=0),
],
alignment=flet.MainAxisAlignment.CENTER,
height=self.page.window_height-140,
width=self.get_use_width()//4,
scroll=flet.ScrollMode.AUTO,
)
self.setting_page = flet.Container(
flet.Column(
[
self.setting_tag,
self.setting_menu,
]),
width=self.get_use_width()//4,
)
def update(self):
return self.setting_page
def resize(self):
self.setting_width = self.get_use_width() // 4.3
self.setting_page.width = self.get_use_width()//4
self.setting_menu.width = self.get_use_width()//4
self.setting_menu.height = self.page.window_height-140
def show(self):
self.setting_page.visible = True
def hide(self):
self.setting_page.visible = False
class sample_layer(setting_page):
def __init__(self, page:flet.Page, params:dict) -> None:
super().__init__(page)
self.type_name = "sample"
self.page = page
self.params = params
self.setting_width = self.get_use_width() // 4.3
self.prompt:flet.TextField = self.params["prompt"]
self.prompt.width = self.setting_width
self.prompt.multiline = True
self.prompt.min_lines = 1
self.prompt.max_lines = 8
self.negative:flet.TextField = self.params["negative"]
self.negative.width = self.setting_width
self.negative.multiline = True
self.negative.min_lines = 1
self.negative.max_lines = 8
self.strength:flet.TextField = self.params["strength_val"]
self.strength.width = self.setting_width
self.setting_menu = flet.Column(
[
flet.Text("", size=0),
self.prompt,
self.negative,
self.strength,
],
alignment=flet.MainAxisAlignment.CENTER,
height=self.page.window_height-140,
width=self.get_use_width()//4,
scroll=flet.ScrollMode.AUTO,
)
self.setting_page = flet.Container(
flet.Column(
[
self.setting_tag,
self.setting_menu,
]),
width=self.get_use_width()//4,
)
self.gen_type_set()
def update(self):
return self.setting_page
def resize(self):
self.setting_width = self.get_use_width() // 4.3
self.setting_page.width = self.get_use_width()//4
self.setting_menu.width = self.get_use_width()//4
self.setting_menu.height = self.page.window_height-140
self.prompt.width = self.setting_width
self.negative.width = self.setting_width
self.strength.width = self.setting_width
def show(self):
self.setting_page.visible = True
def hide(self):
self.setting_page.visible = False
def gen_type_set(self):
if self.params["gen_mode"] == "i2i":
self.strength.visible = True
else:
self.strength.visible = False
class paint_page():
def __init__(self, page:flet.Page, settings:list[setting_page]) -> None:
self.page = page
self.settings = settings
self.paint_tag = flet.Row([
flet.Icon(name=flet.icons.FORMAT_PAINT_ROUNDED),
flet.Text("Process", size=16),
], vertical_alignment=flet.CrossAxisAlignment.CENTER)
self.paint_menu = flet.Column(controls=[
flet.Text("", size=0),
],
alignment=flet.MainAxisAlignment.CENTER,
horizontal_alignment=flet.CrossAxisAlignment.CENTER,
height=self.page.window_height-140-30,
width=self.get_use_width()//4,
scroll=flet.ScrollMode.AUTO,
)
self.set_setting_func()
self.add_menu = flet.PopupMenuButton(
items=[
flet.PopupMenuItem(text="Image"),
],
icon=flet.icons.ADD_ROUNDED,
)
self.paint_add = flet.Row([
self.add_menu,
],
alignment=flet.MainAxisAlignment.CENTER,
vertical_alignment=flet.CrossAxisAlignment.END,
width=self.get_use_width()//4,
)
self.paint_page = flet.Container(
flet.Column(
[
self.paint_tag, self.paint_menu, self.paint_add
],
),width=self.get_use_width()//4,
)
def set_setting_func(self):
def drag_accept(e: flet.DragTargetAcceptEvent):
src = self.page.get_control(e.src_id)
keep = e.control.content.text
e.control.content.text = src.content.content.text
src.content.content.text = keep
e.control.update()
src.update()
self.paint_menu.controls = [flet.Text("", size=0)]
for i in range(len(self.settings)):
def make_shift_setting(i):
def shift_setting(e):
for j in range(len(self.settings)):
self.settings[j].hide()
self.settings[copy.deepcopy(i)].show()
self.page.update()
return shift_setting
shift_setting_func = make_shift_setting(i)
layer = flet.Container(content=\
flet.Draggable(content=\
flet.DragTarget(content=\
flet.TextButton(text=self.settings[i].type_name, on_click=shift_setting_func), on_accept=drag_accept)),\
width=self.get_use_width()//4)
self.paint_menu.controls.append(flet.Divider(height=0))
self.paint_menu.controls.append(layer)
def update(self):
return self.paint_page
def get_use_width(self) -> int:
return int(self.page.window_width - 50)
def resize(self):
self.paint_page.width = self.get_use_width()//4
self.paint_tag.width = self.get_use_width()//4
self.paint_menu.width = self.get_use_width()//4
self.paint_menu.height = self.page.window_height-140-30
self.paint_add.width = self.get_use_width()//4
for val in self.paint_menu.controls:
val.width = self.get_use_width()//4
class image_page():
def __init__(self, page:flet.Page, params:dict, settings:list[setting_page]) -> None:
self.page = page
self.params = params
self.settings = settings
self.on = flet.colors.LIGHT_BLUE_200
self.off = flet.colors.BLACK26
self.img = flet.Image(
src=f"./figures/icon.png",
width=self.get_use_width()//3,
height=self.get_use_width()//3,
fit=flet.ImageFit.CONTAIN,
)
def image_mode_update():
if self.params["image_mode"] == "edit":
self.edit_mode.bgcolor = self.on
self.render_mode.bgcolor = self.off
self.img.src_base64 = self.params["input_img_content"]
elif self.params["image_mode"] == "render":
self.render_mode.bgcolor = self.on
self.edit_mode.bgcolor = self.off
self.img.src_base64 = self.params["render_img_content"]
self.page.update()
def edit_on(e):
self.params["image_mode"] = "edit"
image_mode_update()
def render_on(e):
self.params["image_mode"] = "render"
image_mode_update()
self.edit_mode = flet.IconButton(icon=flet.icons.EDIT_ROUNDED,on_click=edit_on)
self.render_mode = flet.IconButton(icon=flet.icons.CAMERA_ALT_ROUNDED,on_click=render_on)
image_mode_update()
def reset_clicked(e):
self.img.src = f"./figures/icon.png"
self.img.src_base64 = ""
self.params["input_img_content"] = ""
self.params["gen_mode"] = "t2i"
for setting in self.settings:
if setting.type_name == "sample":
setting.gen_type_set()
self.page.update()
self.reset_img = flet.IconButton(icon=flet.icons.DELETE_FOREVER_ROUNDED,on_click=reset_clicked)
def next_clicked(e):
self.params["input_img_content"] = self.params["render_img_content"]
self.params["render_img_content"] = ""
self.params["gen_mode"] = "i2i"
for setting in self.settings:
if setting.type_name == "sample":
setting.gen_type_set()
edit_on(None)
self.next_img = flet.IconButton(icon=flet.icons.KEYBOARD_RETURN_ROUNDED,on_click=next_clicked)
self.log = flet.Text("Doing something...")
self.pb = flet.ProgressBar(width=self.get_use_width()//2, value=0.0)
@torch.no_grad()
def generate(e):
self.on_generate()
prompt = self.params["prompt"].value
negative_prompt = self.params["negative"].value
strength = float(self.params["strength_val"].value)
def display_interim_results(step_idx, t, latents):
if self.params["gen_mode"] == "t2i":
num_inference_steps = 50
elif self.params["gen_mode"] == "i2i":
num_inference_steps = int(50 * strength)
self.pb.value += 1.0 / num_inference_steps
self.page.update()
if self.params["gen_mode"] == "i2i" and self.params["input_img_content"] != "":
img_raw = base64.b64decode(self.params["input_img_content"])
input_image = Image.open(BytesIO(img_raw)).convert('RGB')
elif self.img.src != f"./figures/icon.png":
input_image = Image.open(self.img.src).convert('RGB')
num_inference_steps = 50
if self.params["gen_mode"] == "t2i" and self.params["pipe_t2i"] != None:
image = self.params["pipe_t2i"](prompt, negative_prompt=negative_prompt, num_inference_steps=num_inference_steps, callback=display_interim_results, callback_steps=1).images[0]
elif self.params["gen_mode"] == "i2i" and self.params["pipe_i2i"] != None:
image = self.params["pipe_i2i"](prompt, input_image, strength=strength, negative_prompt=negative_prompt, num_inference_steps=num_inference_steps, callback=display_interim_results, callback_steps=1).images[0]
buffered = BytesIO()
image.save(buffered, format="JPEG")
self.params["render_img_content"] = base64.b64encode(buffered.getvalue()).decode("ascii")
render_on(None)
image.save("./results/"+str(time.time()).split(".")[0]+".png", format="PNG")
self.finish_generate()
self.gen_button = flet.ElevatedButton("Generate", on_click=generate, data=0)
def on_change(e: flet.ControlEvent):
if self.params["model_name"] == e.data:
return
self.on_model_loading()
pipe_t2i: StableDiffusionPipeline = StableDiffusionPipeline.from_single_file(e.data, \
torch_dtype=torch.float16)
pipe_t2i = pipe_t2i.to("cuda")
pipe_i2i = StableDiffusionImg2ImgPipeline(pipe_t2i.vae, pipe_t2i.text_encoder, \
pipe_t2i.tokenizer, pipe_t2i.unet,\
pipe_t2i.scheduler, pipe_t2i.safety_checker,\
pipe_t2i.feature_extractor)
pipe_t2i.safety_checker = None
pipe_i2i.safety_checker = None
self.params["pipe_t2i"] = pipe_t2i
self.params["pipe_i2i"] = pipe_i2i
self.finish_generate()
self.page.update()
self.model_title = flet.Dropdown(
width=self.get_use_width()//4,
options=[
],
on_change=on_change,
)
def pick_files_result(e: flet.FilePickerResultEvent):
if e.files:
input_image = Image.open(e.files[0].path).convert('RGB')
buffered = BytesIO()
input_image.save(buffered, format="JPEG")
self.params["input_img_content"] = base64.b64encode(buffered.getvalue()).decode("ascii")
self.params["gen_mode"] = "i2i"
edit_on(None)
for setting in self.settings:
if setting.type_name == "sample":
setting.gen_type_set()
self.page.update()
self.pick_files_dialog = flet.FilePicker(on_result=pick_files_result)
self.image_page = flet.Container(
content=flet.Column(
[
flet.Row([self.model_title, self.edit_mode, self.render_mode],\
alignment=flet.MainAxisAlignment.CENTER,\
vertical_alignment=flet.CrossAxisAlignment.START),
flet.Row([
self.reset_img,
flet.Container(
content=self.img,
ink=True,
on_click=lambda _: self.pick_files_dialog.pick_files(),
),
self.next_img,
],alignment=flet.MainAxisAlignment.CENTER,\
vertical_alignment=flet.CrossAxisAlignment.START),
self.log,
self.pb,
self.gen_button,
],
horizontal_alignment=flet.CrossAxisAlignment.CENTER,
),
width=self.get_use_width()//2,
)
def model_load(self) -> None:
model_name = self.params["model_name"]
if len(model_name) > 16:
model_name = model_name[0:16]
self.model_title.options = []
for model_name in self.params["model_list"]:
self.model_title.options.append(flet.dropdown.Option(model_name, text=model_name[9:24]+"..."))
for option in self.model_title.options:
option: flet.dropdown.Option = option
if option.key == model_name:
self.model_title.value = option.key
self.page.update()
def on_model_loading(self):
self.gen_button.disabled = True
self.log.value = "model loading..."
self.page.update()
def on_generate(self):
self.gen_button.disabled = True
self.log.value = "rendering now"
self.pb.value = 0.0
self.page.update()
def finish_generate(self):
self.log.value = "ready"
self.gen_button.disabled = False
self.page.update()
def update(self):
self.page.overlay.append(self.pick_files_dialog)
return self.image_page
def get_use_width(self) -> int:
return int(self.page.window_width - 50)
def resize(self):
self.image_page.width = self.get_use_width()//2
self.img.width = self.get_use_width()//3
self.img.height = self.get_use_width()//3
self.pb.width = self.get_use_width()//2
class basic_window():
def __init__(self, page:flet.Page) -> None:
self.page = page
self.params = {}
self.params_init()
layer2 = sample_layer(self.page, self.params)
self.settings:list[setting_page] = [layer2]
self.paint_page:paint_page = paint_page(self.page, self.settings)
self.image_page:image_page = image_page(self.page, self.params, self.settings)
def resize(e) -> None:
for setting in self.settings:
setting.resize()
self.paint_page.resize()
self.image_page.resize()
self.page.update()
self.page.on_resize = resize
def params_init(self) -> None:
self.params["gen_mode"] = "t2i"
self.params["image_mode"] = "edit"
self.params["input_img_content"] = ""
self.params["render_img_content"] = ""
self.params["prompt"] = flet.TextField(label="prompt", value="best quality, 1girl")
self.params["negative"] = flet.TextField(label="negative_prompt", value="nsfw, low quality, worst quality")
self.params["strength_val"] = flet.TextField(label="strength", value="0.5")
self.params["model_name"] = ""
self.params["model_list"] = []
def get_use_width(self) -> int:
return int(self.page.window_width - 50)
def model_load(self) -> None:
self.params["model_list"] = glob.glob("./models/*")
self.image_page.on_model_loading()
self.page.update()
if len(self.params["model_list"]) > 0:
self.params["model_name"] = self.params["model_list"][0]
pipe_t2i: StableDiffusionPipeline = StableDiffusionPipeline.from_single_file(self.params["model_list"][0], \
torch_dtype=torch.float16)
pipe_t2i = pipe_t2i.to("cuda")
pipe_i2i = StableDiffusionImg2ImgPipeline(pipe_t2i.vae, pipe_t2i.text_encoder, \
pipe_t2i.tokenizer, pipe_t2i.unet,\
pipe_t2i.scheduler, pipe_t2i.safety_checker,\
pipe_t2i.feature_extractor)
pipe_t2i.safety_checker = None
pipe_i2i.safety_checker = None
self.params["pipe_t2i"] = pipe_t2i
self.params["pipe_i2i"] = pipe_i2i
self.image_page.finish_generate()
self.image_page.model_load()
self.page.update()
def update(self) -> None:
all_page = [self.paint_page.update(), self.image_page.update()]
for setting in self.settings:
all_page.append(setting.update())
self.page.add(
flet.Column(
[
flet.Row([menubar], alignment=flet.MainAxisAlignment.START),
flet.Row(all_page, alignment=flet.MainAxisAlignment.CENTER),
]
)
)
self.page.update()
if not "pipe_t2i" in self.params:
self.model_load()
def window_put_center(page: Page):
page.window_top = 720//2-page.window_height//2
page.window_left = 1280//2-page.window_width//2
def main(page: Page):
page.title = "DiffuseFlow"
page.window_height = height
page.window_width = width
window_put_center(page)
page.vertical_alignment = flet.MainAxisAlignment.START
page.horizontal_alignment = flet.MainAxisAlignment.CENTER
page.padding = 0
page.spacing = 0
basic_page = basic_window(page)
basic_page.update()
flet.app(target=main)