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import gradio as gr |
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import numpy as np |
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import random |
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from diffusers import DiffusionPipeline |
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from optimum.intel.openvino.modeling_diffusion import OVModelVaeDecoder, OVBaseModel, OVStableDiffusionPipeline |
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import torch |
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from huggingface_hub import snapshot_download |
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import openvino.runtime as ov |
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from typing import Optional, Dict |
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model_id = "Disty0/LCM_SoteMix" |
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HIGH=512 |
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WIDTH=512 |
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batch_size = -1 |
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class CustomOVModelVaeDecoder(OVModelVaeDecoder): |
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def __init__( |
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self, model: ov.Model, parent_model: OVBaseModel, ov_config: Optional[Dict[str, str]] = None, model_dir: str = None, |
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): |
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super(OVModelVaeDecoder, self).__init__(model, parent_model, ov_config, "vae_decoder", model_dir) |
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pipe = OVStableDiffusionPipeline.from_pretrained( |
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model_id, |
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compile = False, |
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ov_config = {"CACHE_DIR":""}, |
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torch_dtype=torch.int8, |
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use_safetensors=False, |
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) |
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taesd_dir = snapshot_download(repo_id="deinferno/taesd-openvino") |
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pipe.vae_decoder = CustomOVModelVaeDecoder(model = OVBaseModel.load_model(f"{taesd_dir}/vae_decoder/openvino_model.xml"), |
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parent_model = pipe, |
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model_dir = taesd_dir |
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) |
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pipe.reshape( batch_size=-1, height=HIGH, width=WIDTH, num_images_per_prompt=1) |
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pipe.compile() |
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prompt="" |
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negative_prompt="(worst quality, low quality, lowres, loli, kid, child), zombie, interlocked fingers, large breasts, username, watermark," |
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def infer(prompt,negative_prompt): |
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image = pipe( |
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prompt = prompt, |
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negative_prompt = negative_prompt, |
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width = WIDTH, |
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height = HIGH, |
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guidance_scale=1.0, |
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num_inference_steps=8, |
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num_images_per_prompt=1, |
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).images[0] |
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return image |
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examples = [ |
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"(Digital art, highres, best quality, 8K, masterpiece, anime screencap, perfect eyes:1.4, ultra detailed:1.5),1girl,flat chest,short messy pink hair,blue eyes,tall,thick thighs,light blue hoodie,collar,light blue shirt,black sport shorts,bulge,black thigh highs,femboy,okoto no ko,smiling,blushing,looking at viewer,inside,livingroom,sitting on couch,nighttime,dark,hand_to_mouth,", |
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"1girl, silver hair, symbol-shaped pupils, yellow eyes, smiling, light particles, light rays, wallpaper, star guardian, serious face, red inner hair, power aura, grandmaster1, golden and white clothes", |
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"masterpiece, best quality, highres booru, 1girl, solo, depth of field, rim lighting, flowers, petals, from above, crystals, butterfly, vegetation, aura, magic, hatsune miku, blush, slight smile, close-up, against wall,", |
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"((colofrul:1.7)),((best quality)), ((masterpiece)), ((ultra-detailed)), (illustration), (detailed light), (an extremely delicate and beautiful),incredibly_absurdres,(glowing),(1girl:1.7),solo,a beautiful girl,(((cowboy shot))),standding,((Hosiery)),((beautiful off-shoulder lace-trimmed layered strapless dress+white stocking):1.25),((Belts)),(leg loops),((Hosiery)),((flower headdress)),((long white hair)),(((beautiful eyes))),BREAK,((english text)),(flower:1.35),(garden),(((border:1.75))),", |
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] |
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css=""" |
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#col-container { |
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margin: 0 auto; |
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max-width: 520px; |
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} |
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""" |
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power_device = "CPU" |
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with gr.Blocks(css=css) as demo: |
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with gr.Column(elem_id="col-container"): |
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gr.Markdown(f""" |
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# Disty0/LCM_SoteMix {WIDTH}x{HIGH} |
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Currently running on {power_device}. |
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""") |
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with gr.Row(): |
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prompt = gr.Text( |
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label="Prompt", |
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show_label=False, |
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max_lines=1, |
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placeholder="Enter your prompt", |
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container=False, |
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) |
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run_button = gr.Button("Run", scale=0) |
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result = gr.Image(label="Result", show_label=False) |
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gr.Examples( |
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examples = examples, |
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fn = infer, |
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inputs = [prompt], |
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outputs = [result] |
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) |
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run_button.click( |
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fn = infer, |
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inputs = [prompt], |
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outputs = [result] |
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) |
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demo.queue().launch() |
