194 lines
8.4 KiB
Python
194 lines
8.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import copy
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import random
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import gradio as gr
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from scepter.studio.inference.inference_ui.component_names import \
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DiffusionUIName
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from scepter.studio.utils.uibase import UIBase
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refresh_symbol = '\U0001f504' # 🔄
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class DiffusionUI(UIBase):
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def __init__(self, cfg, pipe_manager, is_debug=False, language='en'):
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self.cfg = cfg
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self.pipe_manager = pipe_manager
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default_choices = pipe_manager.module_level_choices
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default_diffusion = default_choices['diffusion_model']['default']
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now_pipeline = pipe_manager.model_level_info[default_diffusion][
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'pipeline'][0]
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self.default_resolutions = pipe_manager.pipeline_level_modules[
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now_pipeline].paras.RESOLUTIONS
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self.default_input = pipe_manager.pipeline_level_modules[
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now_pipeline].input
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self.diffusion_paras = self.load_all_paras()
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# deal with resolution
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self.h_level_dict = {}
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for hw_tuple in self.diffusion_paras.RESOLUTIONS.get('VALUES', []):
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h, w = hw_tuple
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if h not in self.h_level_dict:
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self.h_level_dict[h] = []
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self.h_level_dict[h].append(w)
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self.component_names = DiffusionUIName(language)
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def merge_resolutions(self, ori_h_level_dict, default_resolutions):
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h_level_dict = copy.deepcopy(ori_h_level_dict)
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for res in default_resolutions:
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h, w = res
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if h not in h_level_dict:
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h_level_dict[h] = []
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h_level_dict[h].append(w)
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if len(self.default_resolutions) > 0:
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default_res = default_resolutions[0]
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else:
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default_res = self.diffusion_paras.RESOLUTIONS.DEFAULT
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return h_level_dict, default_res
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def get_default(self, ori_diffusion_paras, cur_default):
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diffusion_paras = copy.deepcopy(ori_diffusion_paras)
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for key in diffusion_paras:
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if key.lower() in cur_default:
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diffusion_paras.get(key).DEFAULT = cur_default.get(key.lower())
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value = diffusion_paras.get(key).get('VALUES')
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if value is not None and cur_default.get(
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key.lower()) not in value:
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value.VALUES.append(cur_default.get(key.lower()))
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return diffusion_paras
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def load_all_paras(self):
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diffusion_paras = self.cfg.DIFFUSION_PARAS
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return diffusion_paras
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def create_ui(self, *args, **kwargs):
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self.cur_paras = self.get_default(self.diffusion_paras,
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self.default_input)
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self.example_block = gr.Row(equal_height=True, visible=True)
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with gr.Row(equal_height=True):
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self.negative_prompt = gr.Textbox(
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label=self.component_names.negative_prompt,
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show_label=True,
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placeholder=self.component_names.negative_prompt_placeholder,
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info=self.component_names.negative_prompt_description,
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value=self.cur_paras.NEGATIVE_PROMPT.get('DEFAULT', ''),
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lines=2)
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with gr.Row(equal_height=True):
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with gr.Column(scale=1):
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self.prompt_prefix = gr.Textbox(
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label=self.component_names.prompt_prefix,
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value=self.cur_paras.PROMPT_PREFIX.get('DEFAULT', ''),
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interactive=True)
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with gr.Column(scale=2):
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self.sampler = gr.Dropdown(
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label=self.component_names.sample,
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choices=self.cur_paras.SAMPLE.get('VALUES', []),
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value=self.cur_paras.SAMPLE.get('DEFAULT', ''),
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interactive=True)
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with gr.Row(equal_height=True):
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with gr.Column(scale=1):
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self.discretization = gr.Dropdown(
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label=self.component_names.discretization,
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choices=self.cur_paras.DISCRETIZATION.get('VALUES', []),
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value=self.cur_paras.DISCRETIZATION.get('DEFAULT', ''),
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interactive=True)
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self.cur_h_level_dict, default_res = self.merge_resolutions(
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self.h_level_dict, self.default_resolutions)
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with gr.Column(scale=1):
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self.output_height = gr.Dropdown(
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label=self.component_names.resolutions_height,
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choices=[key for key in self.cur_h_level_dict.keys()],
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value=default_res[0],
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interactive=True)
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with gr.Column(scale=1):
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self.output_width = gr.Dropdown(
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label=self.component_names.resolutions_width,
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choices=self.cur_h_level_dict[default_res[0]],
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value=default_res[1],
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interactive=True)
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with gr.Row(equal_height=True):
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self.image_number = gr.Slider(
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label=self.component_names.image_number,
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minimum=self.cur_paras.SAMPLES.get('MIN', 1),
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maximum=self.cur_paras.SAMPLES.get('MAX', 4),
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step=1,
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value=self.cur_paras.SAMPLES.get('DEFAULT', 1),
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interactive=True)
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with gr.Row(equal_height=True):
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self.sample_steps = gr.Slider(
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label=self.component_names.sample_steps,
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minimum=self.cur_paras.SAMPLE_STEPS.get('MIN', 1),
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maximum=self.cur_paras.SAMPLE_STEPS.get('MAX', 100),
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step=1,
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value=self.cur_paras.SAMPLE_STEPS.get('DEFAULT', 30),
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interactive=True)
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self.guide_scale = gr.Slider(
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label=self.component_names.guide_scale,
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minimum=self.cur_paras.GUIDE_SCALE.get('MIN', 1),
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maximum=self.cur_paras.GUIDE_SCALE.get('MAX', 10),
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step=0.5,
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value=self.cur_paras.GUIDE_SCALE.get('DEFAULT', 7.5),
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interactive=True)
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self.guide_rescale = gr.Slider(
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label=self.component_names.guide_rescale,
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minimum=self.cur_paras.GUIDE_RESCALE.get('MIN', 1),
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maximum=self.cur_paras.GUIDE_RESCALE.get('MAX', 1.0),
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step=0.1,
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value=self.cur_paras.GUIDE_RESCALE.get('DEFAULT', 0.5),
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interactive=True)
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with gr.Row(equal_height=True):
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with gr.Column(scale=1):
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self.seed_random = gr.Checkbox(
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label=self.component_names.random_seed, value=True)
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with gr.Row(equal_height=True, visible=False) as self.seed_panel:
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with gr.Column(scale=2):
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self.image_seed = gr.Textbox(label=self.component_names.seed,
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value=-1,
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max_lines=1,
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interactive=True)
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with gr.Column(scale=1):
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self.refresh_seed = gr.Button(value=refresh_symbol)
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def set_callbacks(self, model_manage_ui, **kwargs):
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gallery_ui = kwargs.pop('gallery_ui')
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with self.example_block:
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gr.Examples(label=self.component_names.example_block_name,
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examples=self.component_names.examples,
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inputs=gallery_ui.prompt)
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def random_checked(r):
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value = -1
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return (gr.Row(visible=not r), gr.Textbox(value=value))
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def refresh_seed():
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return random.randint(0, 10**12)
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self.seed_random.change(random_checked,
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inputs=[self.seed_random],
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outputs=[self.seed_panel, self.image_seed],
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queue=False,
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show_progress=False)
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self.refresh_seed.click(refresh_seed,
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outputs=[self.image_seed],
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queue=False)
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def change_height(h):
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if h not in self.cur_h_level_dict:
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return gr.Dropdown()
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all_choices = self.cur_h_level_dict[h]
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if len(all_choices) > 0:
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default = all_choices[-1]
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else:
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default = -1
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return gr.Dropdown(choices=all_choices, value=default)
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self.output_height.change(change_height,
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inputs=[self.output_height],
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outputs=[self.output_width],
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queue=False)
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