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Running
on
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Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -45,6 +45,9 @@ video_sty = '\U0001f3a5' # 🎥
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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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@@ -82,13 +85,12 @@ 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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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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@@ -133,15 +135,11 @@ class ChatBotUI(object):
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)
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sys_prompt = """You are part of a team of bots that creates videos. You work with an assistant bot that will draw anything you say in square brackets.
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For example , outputting " a beautiful morning in the woods with the sun peaking through the trees " will trigger your partner bot to output an video of a forest morning , as described. You will be prompted by people looking to create detailed , amazing videos. The way to accomplish this is to take their short prompts and make them extremely detailed and descriptive.
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There are a few rules to follow:
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You will only ever output a single video description per user request.
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-
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When modifications are requested , you should not simply make the description longer . You should refactor the entire description to integrate the suggestions.
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Other times the user will not want modifications , but instead want a new image . In this case , you should ignore your previous conversation with the user.
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Video descriptions must have the same num of words as examples below. Extra words will be ignored.
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"""
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self.enhance_ctx = [
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@@ -151,39 +149,39 @@ 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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'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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@@ -350,7 +348,6 @@ class ChatBotUI(object):
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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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@@ -376,7 +373,6 @@ 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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@@ -397,10 +393,11 @@ class ChatBotUI(object):
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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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self.seed = gr.Slider(minimum=-1,
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maximum=10000000,
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value=-1,
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with gr.Row():
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self.chatbot_inst = """
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**Instruction**:
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1. Click 'Upload' button to upload one or more images as input images.
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2. Enter '@' in the text box will exhibit all images in the gallery.
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3. Select the image you wish to edit from the gallery, and its Image ID will be displayed in the text box.
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6. **Important** To render text on an image, please ensure to include a space between each letter. For instance, "add text 'g i r l' on the mask area of @xxxxx".
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7. To implement local editing based on a specified mask, simply click on the image within the chat window to access the image editor. Here, you can draw a mask and then click the 'Submit' button to upload the edited image along with the mask. For inpainting tasks, select the 'Composite' mask type, while for outpainting tasks, choose the 'Outpainting' mask type. For all other local editing tasks, please select the 'Background' mask type.
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8. If you find our work valuable, we invite you to refer to the [ACE Page](https://ali-vilab.github.io/ace-page/) for comprehensive information.
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"""
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self.legacy_inst = """
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**Instruction**:
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1. You can edit the image by uploading it; if no image is uploaded, an image will be generated from text..
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2. Enter '@' in the text box will exhibit all images in the gallery.
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3. Select the image you wish to edit from the gallery, and its Image ID will be displayed in the text box.
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4. **Important** To render text on an image, please ensure to include a space between each letter. For instance, "add text 'g i r l' on the mask area of @xxxxx".
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5. To perform multi-step editing, partial editing, inpainting, outpainting, and other operations, please click the Chatbot Checkbox to enable the conversational editing mode and follow the relevant instructions..
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6. If you find our work valuable, we invite you to refer to the [ACE Page](https://ali-vilab.github.io/ace-page/) for comprehensive information.
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"""
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self.instruction = gr.Markdown(value=self.legacy_inst)
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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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@@ -514,7 +507,7 @@ class ChatBotUI(object):
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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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@@ -546,21 +539,24 @@ class ChatBotUI(object):
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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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self.
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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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@@ -571,9 +567,9 @@ 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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self.output_width, self.refiner_prompt, self.refiner_scale,
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self.use_ace])
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-
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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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########################################
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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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########################################
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@spaces.GPU(duration=240)
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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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-
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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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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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edit_image.append(ref1)
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edit_image_mask.append(None)
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img_str = f'<img src="data:image/png;base64,{img_b64}" style="pointer-events: none;">'
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history = [(prompt,
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f'{pre_info} The generated image is:\n {img_str}')]
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return self.get_history(history), gr.update(value=''), gr.update(
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visible=False), gr.update(value=-1)
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with self.eg:
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self.example_task = gr.Text(label='Task Name',
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self.example_task, self.example_image, self.example_mask,
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self.example_ref_im1, self.text, self.seed
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],
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outputs=[self.chatbot, self.text, self.gallery, self.seed],
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examples_per_page=4,
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run_on_click=True)
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########################################
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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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chatbot = ChatBotUI(cfg)
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chatbot.create_ui()
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chatbot.set_callbacks()
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demo.launch()
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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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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@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 = self.model_choices.keys()[0]
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self.model_name = self.default_model_name
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)
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sys_prompt = """You are part of a team of bots that creates videos. You work with an assistant bot that will draw anything you say in square brackets.
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For example , outputting " a beautiful morning in the woods with the sun peaking through the trees " will trigger your partner bot to output an video of a forest morning , as described. You will be prompted by people looking to create detailed , amazing videos. The way to accomplish this is to take their short prompts and make them extremely detailed and descriptive.
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There are a few rules to follow:
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You will only ever output a single video description per user request.
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When modifications are requested , you should not simply make the description longer . You should refactor the entire description to integrate the suggestions.
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142 |
Other times the user will not want modifications , but instead want a new image . In this case , you should ignore your previous conversation with the user.
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Video descriptions must have the same num of words as examples below. Extra words will be ignored.
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"""
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self.enhance_ctx = [
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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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with gr.Accordion(label='Setting', open=False):
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with gr.Row():
|
353 |
self.model_name_dd = gr.Dropdown(
|
|
|
373 |
label='Refiner Prompt',
|
374 |
container=False)
|
375 |
|
|
|
376 |
with gr.Row():
|
377 |
with gr.Column(scale=8, min_width=500):
|
378 |
with gr.Row():
|
|
|
393 |
visible=self.pipe.input.get("guide_rescale", None) is not None,
|
394 |
label='Rescale')
|
395 |
self.refiner_scale = gr.Slider(minimum=-0.1,
|
396 |
+
maximum=1.0,
|
397 |
+
value=self.pipe.input.get("refiner_scale", 0.5),
|
398 |
+
visible=self.pipe.input.get("refiner_scale",
|
399 |
+
None) is not None,
|
400 |
+
label='Refiner Scale')
|
401 |
self.seed = gr.Slider(minimum=-1,
|
402 |
maximum=10000000,
|
403 |
value=-1,
|
|
|
458 |
with gr.Row():
|
459 |
self.chatbot_inst = """
|
460 |
**Instruction**:
|
|
|
461 |
1. Click 'Upload' button to upload one or more images as input images.
|
462 |
2. Enter '@' in the text box will exhibit all images in the gallery.
|
463 |
3. Select the image you wish to edit from the gallery, and its Image ID will be displayed in the text box.
|
|
|
467 |
6. **Important** To render text on an image, please ensure to include a space between each letter. For instance, "add text 'g i r l' on the mask area of @xxxxx".
|
468 |
7. To implement local editing based on a specified mask, simply click on the image within the chat window to access the image editor. Here, you can draw a mask and then click the 'Submit' button to upload the edited image along with the mask. For inpainting tasks, select the 'Composite' mask type, while for outpainting tasks, choose the 'Outpainting' mask type. For all other local editing tasks, please select the 'Background' mask type.
|
469 |
8. If you find our work valuable, we invite you to refer to the [ACE Page](https://ali-vilab.github.io/ace-page/) for comprehensive information.
|
|
|
470 |
"""
|
471 |
|
472 |
self.legacy_inst = """
|
473 |
**Instruction**:
|
|
|
474 |
1. You can edit the image by uploading it; if no image is uploaded, an image will be generated from text..
|
475 |
2. Enter '@' in the text box will exhibit all images in the gallery.
|
476 |
3. Select the image you wish to edit from the gallery, and its Image ID will be displayed in the text box.
|
477 |
4. **Important** To render text on an image, please ensure to include a space between each letter. For instance, "add text 'g i r l' on the mask area of @xxxxx".
|
478 |
5. To perform multi-step editing, partial editing, inpainting, outpainting, and other operations, please click the Chatbot Checkbox to enable the conversational editing mode and follow the relevant instructions..
|
479 |
6. If you find our work valuable, we invite you to refer to the [ACE Page](https://ali-vilab.github.io/ace-page/) for comprehensive information.
|
|
|
480 |
"""
|
481 |
|
482 |
self.instruction = gr.Markdown(value=self.legacy_inst)
|
|
|
486 |
show_progress=False):
|
487 |
with gr.Column(scale=1, min_width=100, visible=False) as self.upload_panel:
|
488 |
self.upload_btn = gr.Button(value=upload_sty +
|
489 |
+
' Upload',
|
490 |
variant='secondary')
|
491 |
with gr.Column(scale=5, min_width=500):
|
492 |
self.text = gr.Textbox(
|
|
|
498 |
variant='primary')
|
499 |
with gr.Column(scale=1, min_width=100):
|
500 |
self.retry_btn = gr.Button(value=refresh_sty +
|
501 |
+
' Retry',
|
502 |
variant='secondary')
|
503 |
with gr.Column(scale=1, min_width=100):
|
504 |
self.mode_checkbox = gr.Checkbox(
|
|
|
507 |
with gr.Column(scale=(1 if self.enable_i2v else 0),
|
508 |
min_width=0):
|
509 |
self.video_gen_btn = gr.Button(value=video_sty +
|
510 |
+
' Gen Video',
|
511 |
variant='secondary',
|
512 |
visible=self.enable_i2v)
|
513 |
with gr.Column(scale=(1 if self.enable_i2v else 0),
|
|
|
539 |
lock.acquire()
|
540 |
del self.pipe
|
541 |
torch.cuda.empty_cache()
|
542 |
+
torch.cuda.ipc_collect()
|
543 |
+
pipe_cfg = self.model_choices[model_name]
|
544 |
+
infer_name = pipe_cfg.get("INFERENCE_TYPE", "ACE")
|
545 |
+
self.pipe = inference_dict[infer_name]()
|
546 |
+
self.pipe.init_from_cfg(pipe_cfg)
|
547 |
self.model_name = model_name
|
548 |
lock.release()
|
549 |
|
550 |
return (model_name, gr.update(), gr.update(),
|
551 |
gr.Slider(
|
552 |
+
value=self.pipe.input.get("sample_steps", 20),
|
553 |
+
visible=self.pipe.input.get("sample_steps", None) is not None),
|
554 |
gr.Slider(
|
555 |
value=self.pipe.input.get("guide_scale", 4.5),
|
556 |
visible=self.pipe.input.get("guide_scale", None) is not None),
|
557 |
gr.Slider(
|
558 |
+
value=self.pipe.input.get("guide_rescale", 0.5),
|
559 |
+
visible=self.pipe.input.get("guide_rescale", None) is not None),
|
560 |
gr.Slider(
|
561 |
value=self.pipe.input.get("output_height", 1024),
|
562 |
visible=self.pipe.input.get("output_height", None) is not None),
|
|
|
567 |
value=self.pipe.input.get("refiner_prompt", ""),
|
568 |
visible=self.pipe.input.get("refiner_prompt", None) is not None),
|
569 |
gr.Slider(
|
570 |
+
value=self.pipe.input.get("refiner_scale", 0.5),
|
571 |
+
visible=self.pipe.input.get("refiner_scale", None) is not None
|
572 |
+
),
|
573 |
gr.Checkbox(
|
574 |
value=self.pipe.input.get("use_ace", True),
|
575 |
visible=self.pipe.input.get("use_ace", None) is not None
|
|
|
586 |
self.output_width, self.refiner_prompt, self.refiner_scale,
|
587 |
self.use_ace])
|
588 |
|
|
|
589 |
def mode_change(mode_check):
|
590 |
if mode_check:
|
591 |
# ChatBot
|
|
|
607 |
gr.Column(visible=False),
|
608 |
gr.Markdown(value=self.legacy_inst)
|
609 |
)
|
610 |
+
|
611 |
self.mode_checkbox.change(mode_change, inputs=[self.mode_checkbox],
|
612 |
outputs=[self.legacy_group, self.chat_group,
|
613 |
self.chat_btn, self.ui_mode,
|
614 |
self.upload_panel, self.instruction])
|
615 |
|
|
|
616 |
########################################
|
617 |
def generate_gallery(text, images):
|
618 |
if text.endswith(' '):
|
|
|
690 |
messages = copy.deepcopy(self.enhance_ctx)
|
691 |
messages.append({
|
692 |
'role':
|
693 |
+
'user',
|
694 |
'content':
|
695 |
+
f'Create an imaginative video descriptive caption or modify an earlier caption in ENGLISH for the user input: "{prompt}"',
|
696 |
})
|
697 |
lock.acquire()
|
698 |
outputs = self.enhancer(
|
|
|
743 |
########################################
|
744 |
@spaces.GPU(duration=240)
|
745 |
def run_chat(
|
746 |
+
message,
|
747 |
+
legacy_image,
|
748 |
+
ui_mode,
|
749 |
+
use_ace,
|
750 |
+
extend_prompt,
|
751 |
+
history,
|
752 |
+
images,
|
753 |
+
use_history,
|
754 |
+
history_result,
|
755 |
+
negative_prompt,
|
756 |
+
cfg_scale,
|
757 |
+
rescale,
|
758 |
+
refiner_prompt,
|
759 |
+
refiner_scale,
|
760 |
+
step,
|
761 |
+
seed,
|
762 |
+
output_h,
|
763 |
+
output_w,
|
764 |
+
video_auto,
|
765 |
+
video_steps,
|
766 |
+
video_frames,
|
767 |
+
video_cfg_scale,
|
768 |
+
video_fps,
|
769 |
+
video_seed,
|
770 |
+
progress=gr.Progress(track_tqdm=True)):
|
771 |
legacy_img_ids = []
|
772 |
if ui_mode == 'legacy':
|
773 |
if legacy_image is not None:
|
|
|
798 |
)
|
799 |
continue
|
800 |
placeholder = '{image}' if i == 0 else '{' + f'image{i}' + '}'
|
801 |
+
if placeholder not in new_message:
|
802 |
+
new_message = re.sub(f'@{img_id}', placeholder,
|
803 |
+
new_message)
|
804 |
+
else:
|
805 |
+
new_message = re.sub(f'@{img_id} ', "",
|
806 |
+
new_message, 1)
|
807 |
img_meta = images[img_id]
|
808 |
img_path = img_meta['image']
|
809 |
img_mask = img_meta['mask']
|
|
|
844 |
history_io=history_io,
|
845 |
output_height=output_h,
|
846 |
output_width=output_w,
|
847 |
+
sampler=self.pipe.input.get("sampler", "ddim"),
|
848 |
sample_steps=step,
|
849 |
guide_scale=cfg_scale,
|
850 |
guide_rescale=rescale,
|
|
|
915 |
device='cuda').manual_seed(video_seed)
|
916 |
pixel_values = load_image(img.convert('RGB'),
|
917 |
max_num=self.llm_max_num).to(
|
918 |
+
torch.bfloat16).cuda()
|
919 |
prompt = self.captioner.chat(self.llm_tokenizer, pixel_values,
|
920 |
self.llm_prompt,
|
921 |
self.llm_generation_config)
|
|
|
926 |
messages = copy.deepcopy(self.enhance_ctx)
|
927 |
messages.append({
|
928 |
'role':
|
929 |
+
'user',
|
930 |
'content':
|
931 |
+
f'Create an imaginative video descriptive caption or modify an earlier caption in ENGLISH for the user input: "{prompt}"',
|
932 |
})
|
933 |
lock.acquire()
|
934 |
outputs = self.enhancer(
|
|
|
963 |
return (history, images, gr.Image(value=save_path),
|
964 |
history_result, self.get_history(
|
965 |
history), gr.update(), gr.update(
|
966 |
+
visible=False), retry_msg)
|
967 |
|
968 |
chat_inputs = [
|
969 |
self.legacy_image_uploader, self.ui_mode, self.use_ace,
|
|
|
1013 |
w = int(w / ratio)
|
1014 |
img = img.resize((w, h))
|
1015 |
edit_image.append(img)
|
1016 |
+
if img_mask is not None:
|
1017 |
+
img_mask = img_mask if np.sum(np.array(img_mask)) > 0 else None
|
1018 |
edit_image_mask.append(
|
1019 |
img_mask if img_mask is not None else None)
|
1020 |
edit_task.append(task)
|
1021 |
+
if ref1 is not None:
|
1022 |
+
ref1 = ref1 if np.sum(np.array(ref1)) > 0 else None
|
1023 |
if ref1 is not None:
|
1024 |
edit_image.append(ref1)
|
1025 |
edit_image_mask.append(None)
|
|
|
1055 |
img_str = f'<img src="data:image/png;base64,{img_b64}" style="pointer-events: none;">'
|
1056 |
history = [(prompt,
|
1057 |
f'{pre_info} The generated image is:\n {img_str}')]
|
1058 |
+
|
1059 |
+
img_id = get_md5(img_b64)[:12]
|
1060 |
+
save_path = os.path.join(self.cache_dir, f'{img_id}.png')
|
1061 |
+
img.convert('RGB').save(save_path)
|
1062 |
return self.get_history(history), gr.update(value=''), gr.update(
|
1063 |
+
visible=False), gr.update(value=save_path), gr.update(value=-1)
|
1064 |
|
1065 |
with self.eg:
|
1066 |
self.example_task = gr.Text(label='Task Name',
|
|
|
1086 |
self.example_task, self.example_image, self.example_mask,
|
1087 |
self.example_ref_im1, self.text, self.seed
|
1088 |
],
|
1089 |
+
outputs=[self.chatbot, self.text, self.gallery, self.legacy_image_viewer, self.seed],
|
1090 |
examples_per_page=4,
|
1091 |
+
cache_examples=False,
|
1092 |
run_on_click=True)
|
1093 |
|
1094 |
########################################
|
|
|
1181 |
image, history, images)
|
1182 |
return gr.update(visible=False), gr.update(
|
1183 |
visible=True), gr.update(
|
1184 |
+
value=self.get_history(history)), history, images
|
1185 |
|
1186 |
self.sub_btn_1.click(
|
1187 |
submit_upload_image,
|
|
|
1197 |
imagemask, mask_type, history, images)
|
1198 |
return gr.update(visible=False), gr.update(
|
1199 |
visible=True), gr.update(
|
1200 |
+
value=self.get_history(history)), history, images
|
1201 |
|
1202 |
self.sub_btn_2.click(submit_edit_image,
|
1203 |
inputs=[
|
|
|
1413 |
return history, images, img_id
|
1414 |
|
1415 |
|
|
|
1416 |
if __name__ == '__main__':
|
1417 |
cfg = "config/chatbot_ui.yaml"
|
1418 |
with gr.Blocks() as demo:
|
1419 |
chatbot = ChatBotUI(cfg)
|
1420 |
chatbot.create_ui()
|
1421 |
chatbot.set_callbacks()
|
1422 |
+
demo.launch()
|