Update app.py
Browse files
app.py
CHANGED
@@ -3,15 +3,15 @@ import gradio as gr
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import torch
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from PIL import Image
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model_id = '
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prefix = ''
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scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="
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pipe = StableDiffusionPipeline.from_pretrained(
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model_id,
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torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
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pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(
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model_id,
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@@ -51,7 +51,7 @@ def _parse_args(prompt, generator):
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), f"Config override '{var_val}' does not have the form 'VAR=val'"
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conf_args.add_opt(opt, var_val[0], var_val[1], force_override=True)
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def inference(prompt, guidance, steps, width=
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generator = torch.Generator('cuda').manual_seed(seed) if seed != 0 else None
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prompt = f"{prefix} {prompt}" if auto_prefix else prompt
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@@ -107,37 +107,33 @@ with gr.Blocks(css=css) as demo:
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f"""
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<div class="main-div">
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<div>
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<h1 style="color:
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</div>
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<p>
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Demo for <a href="https://huggingface.
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Stable Diffusion model by <a href="https://huggingface.co/
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Running on {"<b>GPU 🔥</b>" if torch.cuda.is_available() else f"<b>CPU
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<blockquote>
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• Model is meant to mimic a modern HDR photography style.
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• Trained on 600 HDR images on SD1.5
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• Merged with one of my own models for illustrations and drawings for miniscule uses outside of photography
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• No hi-res fix required, can generate natively from supported resolutions (See Supported Resolutions Tab)
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</blockquote>
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Please use this prompt template below to get an example of the desired generation results:
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<br>
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<q><em>Important note: You can use the model at 512x512 but the results will likely be undesirable.</em></q>
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<br>
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<b>Prompt</b>:
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<
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<b>Negative Prompt</b>:
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<code>
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Negative prompt: (deformed mouth), (deformed lips), (deformed eyes), (cross-eyed), (deformed iris), (deformed hands), lowers, 3d render, cartoon, long body, wide hips, narrow waist, disfigured, ugly, cross eyed, squinting, grain, Deformed, blurry, bad anatomy, poorly drawn face, mutation, mutated, extra limb, ugly, (poorly drawn hands), missing limb, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, disgusting, poorly drawn, mutilated, , mangled, old, surreal, ((text))
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</code>
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<br>
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<br>
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Have Fun & Enjoy <a href="https://www.thafx.com"><abbr title="
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<br>
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</div>
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"""
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)
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@@ -146,7 +142,7 @@ Have Fun & Enjoy <a href="https://www.thafx.com"><abbr title="//THAFX">Website</
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with gr.Column(scale=55):
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with gr.Group():
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with gr.Row():
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prompt = gr.Textbox(label="
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generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
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image_out = gr.Image(height=512)
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@@ -156,7 +152,7 @@ Have Fun & Enjoy <a href="https://www.thafx.com"><abbr title="//THAFX">Website</
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with gr.Tab("Options"):
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with gr.Group():
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neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image")
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auto_prefix = gr.Checkbox(label="Prefix styling tokens automatically (
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with gr.Row():
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guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
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@@ -183,4 +179,4 @@ Have Fun & Enjoy <a href="https://www.thafx.com"><abbr title="//THAFX">Website</
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demo.queue(concurrency_count=1)
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demo.launch()
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import torch
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from PIL import Image
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model_id = 'wavymulder/portraitplus'
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prefix = 'portrait+ style,'
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scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained(
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model_id,
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torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
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scheduler=scheduler)
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pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(
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model_id,
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), f"Config override '{var_val}' does not have the form 'VAR=val'"
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conf_args.add_opt(opt, var_val[0], var_val[1], force_override=True)
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def inference(prompt, guidance, steps, width=512, height=512, seed=0, img=None, strength=0.5, neg_prompt="", auto_prefix=False):
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generator = torch.Generator('cuda').manual_seed(seed) if seed != 0 else None
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prompt = f"{prefix} {prompt}" if auto_prefix else prompt
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f"""
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<div class="main-div">
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<div>
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<h1 style="color:yellow;">📸 Portrait Plus 📸</h1>
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</div>
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<p>
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Demo for <a href="https://huggingface.com/wavymulder/portraitplus">Open Journey V4</a>
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Stable Diffusion model by <a href="https://huggingface.co/wavymulder/"><abbr title="Wavymulder">Wavymulder</abbr></a>. {"" if prefix else ""}
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Running on {"<b>GPU 🔥</b>" if torch.cuda.is_available() else f"<b>CPU ⚡</b>"}.
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</p>
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<p>Please use the prompt template below to achieve the desired result:
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</p>
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<b>Prompt</b>:
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<details><code>
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portrait+ style, <b>* the subject * </b>, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, realistic, photo-realistic, full length frame, High detail RAW color art, piercing, diffused soft lighting, shallow depth of field, sharp focus, hyperrealism, cinematic lighting
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<br>
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<br>
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<q><i>Example: full body cyborg| full-length portrait| detailed face| symmetric| steampunk| cyberpunk| cyborg| intricate detailed| to scale| hyperrealistic| cinematic lighting| digital art| concept art| mdjrny-v4 style, (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3
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</i></q>
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</code></details>
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<q><em>Important note: Portrait+ works best at a 1:1 aspect ratio, it is also successful using tall aspect ratios as well.</em></q>
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<br>
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<b>Negative Prompt</b>:
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<details><code>
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lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature
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</code></details>
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<br>
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Have Fun & Enjoy ⚡ <a href="https://www.thafx.com"><abbr title="Website">//THAFX</abbr></a>
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<br>
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</div>
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"""
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with gr.Column(scale=55):
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with gr.Group():
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with gr.Row():
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prompt = gr.Textbox(label="Prompt", show_label=False,max_lines=2,placeholder=f"{prefix} [your prompt]").style(container=False)
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generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
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image_out = gr.Image(height=512)
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with gr.Tab("Options"):
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with gr.Group():
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neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image")
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auto_prefix = gr.Checkbox(label="Prefix styling tokens automatically (mdjrny-v4 style,)", value=prefix, visible=prefix)
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with gr.Row():
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guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
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demo.queue(concurrency_count=1)
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demo.launch()
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