Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,5 @@
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# -*- coding: utf-8 -*-
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# Copyright (c) Alibaba, Inc. and its affiliates.
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-
import spaces
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import base64
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import copy
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import glob
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@@ -12,7 +11,8 @@ import shlex
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import string
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import subprocess
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import threading
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-
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subprocess.run(shlex.split('pip install flash-attn --no-build-isolation'),
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env=os.environ | {'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"})
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@@ -45,9 +45,6 @@ video_sty = '\U0001f3a5' # 🎥
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lock = threading.Lock()
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inference_dict = {
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"ACE": ACEInference
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}
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class ChatBotUI(object):
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def __init__(self,
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@@ -85,14 +82,15 @@ class ChatBotUI(object):
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self.model_choices[model_name] = model_cfg
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print('Models: ', self.model_choices.keys())
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FS.get_from("ms://AI-ModelScope/FLUX.1-dev@
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FS.
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FS.get_dir_to_local_dir("ms://AI-ModelScope/FLUX.1-dev@
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FS.get_dir_to_local_dir("ms://AI-ModelScope/FLUX.1-dev@
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FS.get_dir_to_local_dir("ms://AI-ModelScope/FLUX.1-dev@
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assert len(self.model_choices) > 0
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if self.default_model_name == "": self.default_model_name = self.model_choices.keys()[0]
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self.model_name = self.default_model_name
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self.pipe = ACEInference()
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self.pipe.init_from_cfg(self.model_choices[self.default_model_name])
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@@ -149,39 +147,39 @@ class ChatBotUI(object):
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},
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{
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'role':
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'content':
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},
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{
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'role':
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'content':
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},
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{
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'role':
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'content':
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},
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{
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'role':
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'content':
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},
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{
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'role':
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'content':
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},
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{
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'role':
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'content':
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},
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]
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@@ -348,6 +346,7 @@ class ChatBotUI(object):
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show_download_button=True,
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elem_id='image_viewer')
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with gr.Accordion(label='Setting', open=False):
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with gr.Row():
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self.model_name_dd = gr.Dropdown(
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@@ -373,6 +372,7 @@ class ChatBotUI(object):
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label='Refiner Prompt',
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container=False)
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with gr.Row():
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with gr.Column(scale=8, min_width=500):
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with gr.Row():
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visible=self.pipe.input.get("guide_rescale", None) is not None,
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label='Rescale')
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self.refiner_scale = gr.Slider(minimum=-0.1,
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label='Refiner Scale')
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self.seed = gr.Slider(minimum=-1,
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maximum=10000000,
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value=-1,
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show_progress=False):
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with gr.Column(scale=1, min_width=100, visible=False) as self.upload_panel:
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self.upload_btn = gr.Button(value=upload_sty +
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variant='secondary')
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with gr.Column(scale=5, min_width=500):
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self.text = gr.Textbox(
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variant='primary')
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with gr.Column(scale=1, min_width=100):
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self.retry_btn = gr.Button(value=refresh_sty +
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variant='secondary')
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with gr.Column(scale=1, min_width=100):
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self.mode_checkbox = gr.Checkbox(
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with gr.Column(scale=(1 if self.enable_i2v else 0),
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min_width=0):
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self.video_gen_btn = gr.Button(value=video_sty +
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variant='secondary',
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visible=self.enable_i2v)
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with gr.Column(scale=(1 if self.enable_i2v else 0),
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def set_callbacks(self, *args, **kwargs):
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########################################
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-
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def change_model(model_name):
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if model_name not in self.model_choices:
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gr.Info('The provided model name is not a valid choice!')
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lock.acquire()
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del self.pipe
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torch.cuda.empty_cache()
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-
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infer_name = pipe_cfg.get("INFERENCE_TYPE", "ACE")
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self.pipe = inference_dict[infer_name]()
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self.pipe.init_from_cfg(pipe_cfg)
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self.model_name = model_name
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lock.release()
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return (model_name, gr.update(), gr.update(),
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gr.Slider(
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gr.Slider(
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value=self.pipe.input.get("guide_scale", 4.5),
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visible=self.pipe.input.get("guide_scale", None) is not None),
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gr.Slider(
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gr.Slider(
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value=self.pipe.input.get("output_height", 1024),
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visible=self.pipe.input.get("output_height", None) is not None),
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@@ -567,9 +563,9 @@ class ChatBotUI(object):
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value=self.pipe.input.get("refiner_prompt", ""),
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visible=self.pipe.input.get("refiner_prompt", None) is not None),
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gr.Slider(
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gr.Checkbox(
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value=self.pipe.input.get("use_ace", True),
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visible=self.pipe.input.get("use_ace", None) is not None
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@@ -586,6 +582,7 @@ class ChatBotUI(object):
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self.output_width, self.refiner_prompt, self.refiner_scale,
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self.use_ace])
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def mode_change(mode_check):
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if mode_check:
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# ChatBot
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gr.Column(visible=False),
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gr.Markdown(value=self.legacy_inst)
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)
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self.mode_checkbox.change(mode_change, inputs=[self.mode_checkbox],
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outputs=[self.legacy_group, self.chat_group,
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self.chat_btn, self.ui_mode,
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self.upload_panel, self.instruction])
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########################################
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def generate_gallery(text, images):
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if text.endswith(' '):
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messages = copy.deepcopy(self.enhance_ctx)
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messages.append({
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'role':
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'content':
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})
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lock.acquire()
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outputs = self.enhancer(
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outputs=[self.history, self.chatbot, self.text, self.gallery])
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########################################
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@spaces.GPU(duration=
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def run_chat(
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legacy_img_ids = []
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if ui_mode == 'legacy':
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if legacy_image is not None:
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)
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continue
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placeholder = '{image}' if i == 0 else '{' + f'image{i}' + '}'
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new_message)
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else:
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new_message = re.sub(f'@{img_id} ', "",
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new_message, 1)
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img_meta = images[img_id]
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img_path = img_meta['image']
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img_mask = img_meta['mask']
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history_io=history_io,
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output_height=output_h,
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output_width=output_w,
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sampler=
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sample_steps=step,
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guide_scale=cfg_scale,
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guide_rescale=rescale,
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device='cuda').manual_seed(video_seed)
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pixel_values = load_image(img.convert('RGB'),
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max_num=self.llm_max_num).to(
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prompt = self.captioner.chat(self.llm_tokenizer, pixel_values,
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self.llm_prompt,
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self.llm_generation_config)
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messages = copy.deepcopy(self.enhance_ctx)
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messages.append({
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'role':
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'content':
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})
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lock.acquire()
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outputs = self.enhancer(
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return (history, images, gr.Image(value=save_path),
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history_result, self.get_history(
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history), gr.update(), gr.update(
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chat_inputs = [
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self.legacy_image_uploader, self.ui_mode, self.use_ace,
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w = int(w / ratio)
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img = img.resize((w, h))
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edit_image.append(img)
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if img_mask is not None:
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img_mask = img_mask if np.sum(np.array(img_mask)) > 0 else None
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edit_image_mask.append(
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img_mask if img_mask is not None else None)
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edit_task.append(task)
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if ref1 is not None:
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ref1 = ref1 if np.sum(np.array(ref1)) > 0 else None
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if ref1 is not None:
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edit_image.append(ref1)
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edit_image_mask.append(None)
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img_id = get_md5(img_b64)[:12]
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save_path = os.path.join(self.cache_dir, f'{img_id}.png')
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img.convert('RGB').save(save_path)
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return self.get_history(history), gr.update(value=''), gr.update(
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visible=False),
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with self.eg:
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self.example_task = gr.Text(label='Task Name',
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examples_per_page=4,
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cache_examples=False,
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run_on_click=True)
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########################################
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def upload_image():
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return (gr.update(visible=True,
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image, history, images)
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return gr.update(visible=False), gr.update(
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visible=True), gr.update(
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self.sub_btn_1.click(
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submit_upload_image,
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imagemask, mask_type, history, images)
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return gr.update(visible=False), gr.update(
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visible=True), gr.update(
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self.sub_btn_2.click(submit_edit_image,
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inputs=[
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return history, images, img_id
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if __name__ == '__main__':
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cfg = "config/chatbot_ui.yaml"
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with gr.Blocks() as demo:
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# -*- coding: utf-8 -*-
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import base64
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import copy
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import glob
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import string
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import subprocess
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import threading
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import spaces
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subprocess.run(shlex.split('pip install flash-attn --no-build-isolation'),
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env=os.environ | {'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"})
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lock = threading.Lock()
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class ChatBotUI(object):
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def __init__(self,
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self.model_choices[model_name] = model_cfg
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print('Models: ', self.model_choices.keys())
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#FS.get_from("ms://AI-ModelScope/FLUX.1-dev@flux1-dev.safetensors")
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#FS.get_from("ms://AI-ModelScope/FLUX.1-dev@ae.safetensors")
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#FS.get_dir_to_local_dir("ms://AI-ModelScope/FLUX.1-dev@text_encoder_2/")
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#FS.get_dir_to_local_dir("ms://AI-ModelScope/FLUX.1-dev@tokenizer_2/")
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#FS.get_dir_to_local_dir("ms://AI-ModelScope/FLUX.1-dev@text_encoder/")
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#FS.get_dir_to_local_dir("ms://AI-ModelScope/FLUX.1-dev@tokenizer/")
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assert len(self.model_choices) > 0
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if self.default_model_name == "": self.default_model_name = list(self.model_choices.keys())[0]
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self.model_name = self.default_model_name
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self.pipe = ACEInference()
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self.pipe.init_from_cfg(self.model_choices[self.default_model_name])
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},
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{
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'role':
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'user',
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'content':
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'Create an imaginative video descriptive caption or modify an earlier caption for the user input : "a girl is on the beach"',
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},
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{
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'role':
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'assistant',
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'content':
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"A radiant woman stands on a deserted beach, arms outstretched, wearing a beige trench coat, white blouse, light blue jeans, and chic boots, against a backdrop of soft sky and sea. Moments later, she is seen mid-twirl, arms exuberant, with the lighting suggesting dawn or dusk. Then, she runs along the beach, her attire complemented by an off-white scarf and black ankle boots, the tranquil sea behind her. Finally, she holds a paper airplane, her pose reflecting joy and freedom, with the ocean's gentle waves and the sky's soft pastel hues enhancing the serene ambiance.",
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},
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{
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'role':
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'user',
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'content':
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'Create an imaginative video descriptive caption or modify an earlier caption for the user input : "A man jogging on a football field"',
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},
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{
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'role':
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'assistant',
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'content':
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"A determined man in athletic attire, including a blue long-sleeve shirt, black shorts, and blue socks, jogs around a snow-covered soccer field, showcasing his solitary exercise in a quiet, overcast setting. His long dreadlocks, focused expression, and the serene winter backdrop highlight his dedication to fitness. As he moves, his attire, consisting of a blue sports sweatshirt, black athletic pants, gloves, and sneakers, grips the snowy ground. He is seen running past a chain-link fence enclosing the playground area, with a basketball hoop and children's slide, suggesting a moment of solitary exercise amidst the empty field.",
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},
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{
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'role':
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'user',
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'content':
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'Create an imaginative video descriptive caption or modify an earlier caption for the user input : " A woman is dancing, HD footage, close-up"',
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},
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{
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'role':
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'assistant',
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'content':
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'A young woman with her hair in an updo and wearing a teal hoodie stands against a light backdrop, initially looking over her shoulder with a contemplative expression. She then confidently makes a subtle dance move, suggesting rhythm and movement. Next, she appears poised and focused, looking directly at the camera. Her expression shifts to one of introspection as she gazes downward slightly. Finally, she dances with confidence, her left hand over her heart, symbolizing a poignant moment, all while dressed in the same teal hoodie against a plain, light-colored background.',
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},
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]
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show_download_button=True,
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elem_id='image_viewer')
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+
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with gr.Accordion(label='Setting', open=False):
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with gr.Row():
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self.model_name_dd = gr.Dropdown(
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label='Refiner Prompt',
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container=False)
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+
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with gr.Row():
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with gr.Column(scale=8, min_width=500):
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with gr.Row():
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visible=self.pipe.input.get("guide_rescale", None) is not None,
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label='Rescale')
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self.refiner_scale = gr.Slider(minimum=-0.1,
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maximum=1.0,
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value=self.pipe.input.get("refiner_scale", -1),
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visible=self.pipe.input.get("refiner_scale", None) is not None,
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label='Refiner Scale')
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self.seed = gr.Slider(minimum=-1,
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maximum=10000000,
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value=-1,
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show_progress=False):
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with gr.Column(scale=1, min_width=100, visible=False) as self.upload_panel:
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self.upload_btn = gr.Button(value=upload_sty +
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' Upload',
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variant='secondary')
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with gr.Column(scale=5, min_width=500):
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self.text = gr.Textbox(
|
|
|
497 |
variant='primary')
|
498 |
with gr.Column(scale=1, min_width=100):
|
499 |
self.retry_btn = gr.Button(value=refresh_sty +
|
500 |
+
' Retry',
|
501 |
variant='secondary')
|
502 |
with gr.Column(scale=1, min_width=100):
|
503 |
self.mode_checkbox = gr.Checkbox(
|
|
|
506 |
with gr.Column(scale=(1 if self.enable_i2v else 0),
|
507 |
min_width=0):
|
508 |
self.video_gen_btn = gr.Button(value=video_sty +
|
509 |
+
' Gen Video',
|
510 |
variant='secondary',
|
511 |
visible=self.enable_i2v)
|
512 |
with gr.Column(scale=(1 if self.enable_i2v else 0),
|
|
|
528 |
def set_callbacks(self, *args, **kwargs):
|
529 |
|
530 |
########################################
|
531 |
+
#@spaces.GPU(duration=60)
|
532 |
def change_model(model_name):
|
533 |
if model_name not in self.model_choices:
|
534 |
gr.Info('The provided model name is not a valid choice!')
|
|
|
538 |
lock.acquire()
|
539 |
del self.pipe
|
540 |
torch.cuda.empty_cache()
|
541 |
+
self.pipe = ACEInference()
|
542 |
+
self.pipe.init_from_cfg(self.model_choices[model_name])
|
|
|
|
|
|
|
543 |
self.model_name = model_name
|
544 |
lock.release()
|
545 |
|
546 |
return (model_name, gr.update(), gr.update(),
|
547 |
gr.Slider(
|
548 |
+
value=self.pipe.input.get("sample_steps", 20),
|
549 |
+
visible=self.pipe.input.get("sample_steps", None) is not None),
|
550 |
gr.Slider(
|
551 |
value=self.pipe.input.get("guide_scale", 4.5),
|
552 |
visible=self.pipe.input.get("guide_scale", None) is not None),
|
553 |
gr.Slider(
|
554 |
+
value=self.pipe.input.get("guide_rescale", 0.5),
|
555 |
+
visible=self.pipe.input.get("guide_rescale", None) is not None),
|
556 |
gr.Slider(
|
557 |
value=self.pipe.input.get("output_height", 1024),
|
558 |
visible=self.pipe.input.get("output_height", None) is not None),
|
|
|
563 |
value=self.pipe.input.get("refiner_prompt", ""),
|
564 |
visible=self.pipe.input.get("refiner_prompt", None) is not None),
|
565 |
gr.Slider(
|
566 |
+
value=self.pipe.input.get("refiner_scale", -1),
|
567 |
+
visible=self.pipe.input.get("refiner_scale", None) is not None
|
568 |
+
),
|
569 |
gr.Checkbox(
|
570 |
value=self.pipe.input.get("use_ace", True),
|
571 |
visible=self.pipe.input.get("use_ace", None) is not None
|
|
|
582 |
self.output_width, self.refiner_prompt, self.refiner_scale,
|
583 |
self.use_ace])
|
584 |
|
585 |
+
|
586 |
def mode_change(mode_check):
|
587 |
if mode_check:
|
588 |
# ChatBot
|
|
|
604 |
gr.Column(visible=False),
|
605 |
gr.Markdown(value=self.legacy_inst)
|
606 |
)
|
|
|
607 |
self.mode_checkbox.change(mode_change, inputs=[self.mode_checkbox],
|
608 |
outputs=[self.legacy_group, self.chat_group,
|
609 |
self.chat_btn, self.ui_mode,
|
610 |
self.upload_panel, self.instruction])
|
611 |
|
612 |
+
|
613 |
########################################
|
614 |
def generate_gallery(text, images):
|
615 |
if text.endswith(' '):
|
|
|
687 |
messages = copy.deepcopy(self.enhance_ctx)
|
688 |
messages.append({
|
689 |
'role':
|
690 |
+
'user',
|
691 |
'content':
|
692 |
+
f'Create an imaginative video descriptive caption or modify an earlier caption in ENGLISH for the user input: "{prompt}"',
|
693 |
})
|
694 |
lock.acquire()
|
695 |
outputs = self.enhancer(
|
|
|
738 |
outputs=[self.history, self.chatbot, self.text, self.gallery])
|
739 |
|
740 |
########################################
|
741 |
+
@spaces.GPU(duration=120)
|
742 |
def run_chat(
|
743 |
+
message,
|
744 |
+
legacy_image,
|
745 |
+
ui_mode,
|
746 |
+
use_ace,
|
747 |
+
extend_prompt,
|
748 |
+
history,
|
749 |
+
images,
|
750 |
+
use_history,
|
751 |
+
history_result,
|
752 |
+
negative_prompt,
|
753 |
+
cfg_scale,
|
754 |
+
rescale,
|
755 |
+
refiner_prompt,
|
756 |
+
refiner_scale,
|
757 |
+
step,
|
758 |
+
seed,
|
759 |
+
output_h,
|
760 |
+
output_w,
|
761 |
+
video_auto,
|
762 |
+
video_steps,
|
763 |
+
video_frames,
|
764 |
+
video_cfg_scale,
|
765 |
+
video_fps,
|
766 |
+
video_seed,
|
767 |
+
progress=gr.Progress(track_tqdm=True)):
|
768 |
legacy_img_ids = []
|
769 |
if ui_mode == 'legacy':
|
770 |
if legacy_image is not None:
|
|
|
795 |
)
|
796 |
continue
|
797 |
placeholder = '{image}' if i == 0 else '{' + f'image{i}' + '}'
|
798 |
+
new_message = re.sub(f'@{img_id}', placeholder,
|
799 |
+
new_message)
|
|
|
|
|
|
|
|
|
800 |
img_meta = images[img_id]
|
801 |
img_path = img_meta['image']
|
802 |
img_mask = img_meta['mask']
|
|
|
837 |
history_io=history_io,
|
838 |
output_height=output_h,
|
839 |
output_width=output_w,
|
840 |
+
sampler='ddim',
|
841 |
sample_steps=step,
|
842 |
guide_scale=cfg_scale,
|
843 |
guide_rescale=rescale,
|
|
|
908 |
device='cuda').manual_seed(video_seed)
|
909 |
pixel_values = load_image(img.convert('RGB'),
|
910 |
max_num=self.llm_max_num).to(
|
911 |
+
torch.bfloat16).cuda()
|
912 |
prompt = self.captioner.chat(self.llm_tokenizer, pixel_values,
|
913 |
self.llm_prompt,
|
914 |
self.llm_generation_config)
|
|
|
919 |
messages = copy.deepcopy(self.enhance_ctx)
|
920 |
messages.append({
|
921 |
'role':
|
922 |
+
'user',
|
923 |
'content':
|
924 |
+
f'Create an imaginative video descriptive caption or modify an earlier caption in ENGLISH for the user input: "{prompt}"',
|
925 |
})
|
926 |
lock.acquire()
|
927 |
outputs = self.enhancer(
|
|
|
956 |
return (history, images, gr.Image(value=save_path),
|
957 |
history_result, self.get_history(
|
958 |
history), gr.update(), gr.update(
|
959 |
+
visible=False), retry_msg)
|
960 |
|
961 |
chat_inputs = [
|
962 |
self.legacy_image_uploader, self.ui_mode, self.use_ace,
|
|
|
1006 |
w = int(w / ratio)
|
1007 |
img = img.resize((w, h))
|
1008 |
edit_image.append(img)
|
|
|
|
|
1009 |
edit_image_mask.append(
|
1010 |
img_mask if img_mask is not None else None)
|
1011 |
edit_task.append(task)
|
|
|
|
|
1012 |
if ref1 is not None:
|
1013 |
edit_image.append(ref1)
|
1014 |
edit_image_mask.append(None)
|
|
|
1048 |
img_id = get_md5(img_b64)[:12]
|
1049 |
save_path = os.path.join(self.cache_dir, f'{img_id}.png')
|
1050 |
img.convert('RGB').save(save_path)
|
1051 |
+
|
1052 |
return self.get_history(history), gr.update(value=''), gr.update(
|
1053 |
+
visible=False), gr.update(value=save_path), gr.update(value=-1)
|
1054 |
|
1055 |
with self.eg:
|
1056 |
self.example_task = gr.Text(label='Task Name',
|
|
|
1080 |
examples_per_page=4,
|
1081 |
cache_examples=False,
|
1082 |
run_on_click=True)
|
|
|
1083 |
########################################
|
1084 |
def upload_image():
|
1085 |
return (gr.update(visible=True,
|
|
|
1170 |
image, history, images)
|
1171 |
return gr.update(visible=False), gr.update(
|
1172 |
visible=True), gr.update(
|
1173 |
+
value=self.get_history(history)), history, images
|
1174 |
|
1175 |
self.sub_btn_1.click(
|
1176 |
submit_upload_image,
|
|
|
1186 |
imagemask, mask_type, history, images)
|
1187 |
return gr.update(visible=False), gr.update(
|
1188 |
visible=True), gr.update(
|
1189 |
+
value=self.get_history(history)), history, images
|
1190 |
|
1191 |
self.sub_btn_2.click(submit_edit_image,
|
1192 |
inputs=[
|
|
|
1402 |
return history, images, img_id
|
1403 |
|
1404 |
|
1405 |
+
|
1406 |
if __name__ == '__main__':
|
1407 |
cfg = "config/chatbot_ui.yaml"
|
1408 |
with gr.Blocks() as demo:
|