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Duplicate from allknowingroger/Image-Models-Test141

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  1. .gitattributes +34 -0
  2. README.md +12 -0
  3. app.py +144 -0
.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.npy filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ title: More Image Models
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+ emoji: 😻
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+ colorFrom: red
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+ colorTo: gray
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+ sdk: gradio
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+ sdk_version: 3.23.0
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+ app_file: app.py
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+ duplicated_from: allknowingroger/Image-Models-Test141
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+ ---
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+
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+ <!--Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference-->
app.py ADDED
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+ import gradio as gr
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+ # import os
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+ # import sys
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+ # from pathlib import Path
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+ import time
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+
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+ models =[
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+ "itsrocchi/lora-trained-xl",
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+ "nzlada/my-pet-xzl",
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+ "nzlada/my-pet-dog-xzl",
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+ "Revanthraja/snowavat",
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+ "ARDICAI/ardic_ai_3",
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+ "osangni/sdxlroks",
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+ "bongo2112/sdxl-db-raisisamia",
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+ "bongo2112/sdxl-db-hamisamobetto",
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+ "codyreading/dreamboothlora-car",
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+ ]
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+
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+
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+ model_functions = {}
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+ model_idx = 1
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+ for model_path in models:
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+ try:
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+ model_functions[model_idx] = gr.Interface.load(f"models/{model_path}", live=False, preprocess=True, postprocess=False)
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+ except Exception as error:
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+ def the_fn(txt):
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+ return None
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+ model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"])
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+ model_idx+=1
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+
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+
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+ def send_it_idx(idx):
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+ def send_it_fn(prompt):
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+ output = (model_functions.get(str(idx)) or model_functions.get(str(1)))(prompt)
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+ return output
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+ return send_it_fn
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+
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+ def get_prompts(prompt_text):
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+ return prompt_text
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+
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+ def clear_it(val):
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+ if int(val) != 0:
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+ val = 0
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+ else:
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+ val = 0
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+ pass
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+ return val
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+
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+ def all_task_end(cnt,t_stamp):
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+ to = t_stamp + 60
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+ et = time.time()
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+ if et > to and t_stamp != 0:
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+ d = gr.update(value=0)
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+ tog = gr.update(value=1)
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+ #print(f'to: {to} et: {et}')
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+ else:
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+ if cnt != 0:
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+ d = gr.update(value=et)
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+ else:
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+ d = gr.update(value=0)
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+ tog = gr.update(value=0)
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+ #print (f'passing: to: {to} et: {et}')
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+ pass
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+ return d, tog
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+
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+ def all_task_start():
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+ print("\n\n\n\n\n\n\n")
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+ t = time.gmtime()
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+ t_stamp = time.time()
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+ current_time = time.strftime("%H:%M:%S", t)
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+ return gr.update(value=t_stamp), gr.update(value=t_stamp), gr.update(value=0)
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+
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+ def clear_fn():
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+ nn = len(models)
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+ return tuple([None, *[None for _ in range(nn)]])
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+
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+
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+
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+ with gr.Blocks(title="SD Models") as my_interface:
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+ with gr.Column(scale=12):
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+ # with gr.Row():
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+ # gr.Markdown("""- Primary prompt: 你想画的内容(英文单词,如 a cat, 加英文逗号效果更好;点 Improve 按钮进行完善)\n- Real prompt: 完善后的提示词,出现后再点右边的 Run 按钮开始运行""")
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+ with gr.Row():
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+ with gr.Row(scale=6):
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+ primary_prompt=gr.Textbox(label="Prompt", value="")
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+ # real_prompt=gr.Textbox(label="Real prompt")
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+ with gr.Row(scale=6):
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+ # improve_prompts_btn=gr.Button("Improve")
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+ with gr.Row():
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+ run=gr.Button("Run",variant="primary")
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+ clear_btn=gr.Button("Clear")
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+ with gr.Row():
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+ sd_outputs = {}
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+ model_idx = 1
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+ for model_path in models:
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+ with gr.Column(scale=3, min_width=320):
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+ with gr.Box():
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+ sd_outputs[model_idx] = gr.Image(label=model_path)
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+ pass
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+ model_idx += 1
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+ pass
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+ pass
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+
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+ with gr.Row(visible=False):
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+ start_box=gr.Number(interactive=False)
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+ end_box=gr.Number(interactive=False)
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+ tog_box=gr.Textbox(value=0,interactive=False)
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+
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+ start_box.change(
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+ all_task_end,
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+ [start_box, end_box],
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+ [start_box, tog_box],
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+ every=1,
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+ show_progress=False)
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+
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+ primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box])
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+ run.click(all_task_start, None, [start_box, end_box, tog_box])
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+ runs_dict = {}
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+ model_idx = 1
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+ for model_path in models:
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+ runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]])
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+ model_idx += 1
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+ pass
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+ pass
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+
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+ # improve_prompts_btn_clicked=improve_prompts_btn.click(
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+ # get_prompts,
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+ # inputs=[primary_prompt],
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+ # outputs=[primary_prompt],
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+ # cancels=list(runs_dict.values()))
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+ clear_btn.click(
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+ clear_fn,
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+ None,
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+ [primary_prompt, *list(sd_outputs.values())],
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+ cancels=[*list(runs_dict.values())])
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+ tog_box.change(
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+ clear_it,
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+ tog_box,
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+ tog_box,
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+ cancels=[*list(runs_dict.values())])
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+
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+ my_interface.queue(concurrency_count=600, status_update_rate=1)
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+ my_interface.launch(inline=True, show_api=False)
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+