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Running
on
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Running
on
Zero
import torch | |
import numpy as np | |
import gradio as gr | |
import spaces | |
import cv2 | |
import os | |
from typing import Dict | |
from PIL import Image | |
from huggingface_hub import Repository | |
engine_repo = Repository(local_dir="engine", clone_from="felixrosberg/EngageDiffusion", use_auth_token=os.environ['model_fetch']) | |
from engine.ui_model import fetch_model, run_model | |
from engine.ui_gradio import fetch_ui | |
pipe = fetch_model() | |
pipe.to('cuda') | |
def inference(user_state, condition_image, settings, prompt, neg_prompt, inference_steps=8, num_images=2, | |
guidance_scale=2.0, | |
guidance_rescale=0.0, | |
clip_skip=0, | |
enable_freeu=False, | |
height=1024, | |
width=1024, | |
condition_scale=0.5, | |
sketch_detail=1.0, | |
sketch_softness=0.5, | |
inpaint_strength=0.9, | |
exposure=0.0, | |
enable_stylation=False, | |
style_1_down=0.0, | |
style_1_mid=0.0, | |
style_1_up=0.0, | |
style_2_down=0.0, | |
style_2_mid=0.0, | |
style_2_up=0.0, | |
style_3_down=0.0, | |
style_3_mid=0.0, | |
style_3_up=0.0, | |
style_4_down=0.0, | |
style_4_mid=0.0, | |
style_4_up=0.0, | |
style_5_down=0.0, | |
style_5_mid=0.0, | |
style_5_up=0.0, | |
seed=None, | |
progress=gr.Progress()): | |
images = run_model(pipe, user_state, condition_image, settings, prompt, neg_prompt, inference_steps, num_images, | |
guidance_scale, | |
guidance_rescale, | |
clip_skip, | |
enable_freeu, | |
height, | |
width, | |
condition_scale, | |
sketch_detail, | |
sketch_softness, | |
inpaint_strength, | |
exposure, | |
enable_stylation, | |
style_1_down, | |
style_1_mid, | |
style_1_up, | |
style_2_down, | |
style_2_mid, | |
style_2_up, | |
style_3_down, | |
style_3_mid, | |
style_3_up, | |
style_4_down, | |
style_4_mid, | |
style_4_up, | |
style_5_down, | |
style_5_mid, | |
style_5_up, | |
seed, | |
progress) | |
user_state["IMAGE_GALLERY"] += images | |
return user_state["IMAGE_GALLERY"], user_state | |
engage_demo = fetch_ui(inference) | |
engage_demo.launch() |