Duplicate from Manjushri/OJ-V4-CPU

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README.md

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+---
+title: OpenJourney V4 CPU
+emoji: 🔥
+colorFrom: red
+colorTo: red
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: Manjushri/OJ-V4-CPU
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+import numpy as np
+import modin.pandas as pd
+from PIL import Image
+from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = DiffusionPipeline.from_pretrained("prompthero/openjourney-v4", safety_checker=None)
+upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", safety_checker=None)
+upscaler = upscaler.to(device)
+pipe = pipe.to(device)
+
+def genie (Prompt, scale, steps, seed):
+     generator = torch.Generator(device=device).manual_seed(seed)
+     #images = pipe(prompt, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
+     low_res_latents = pipe(Prompt, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images
+     upscaled_image = upscaler(prompt='', image=low_res_latents, num_inference_steps=5, guidance_scale=0, generator=generator).images[0]
+     return upscaled_image
+    
+gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
+                               gr.Slider(1, maximum=15, value=10, step=.25), 
+                               gr.Slider(1, maximum=50, value=25, step=1), 
+                               gr.Slider(minimum=1, step=1, maximum=987654321, randomize=True)], 
+             outputs = 'image',
+             title = 'OpenJourney V4 with SD 2.1 2X Upscaler - CPU', 
+             description = "OJ V4 CPU. <b>WARNING:</b> Extremely Slow. 35s/Iteration. Expect 8-16mins an image for 15-30 iterations respectively. 50 iterations takes ~28mins.", 
+             article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=True)

requirements.txt

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+torch
+numpy
+torchvision
+diffusers
+transformers
+accelerate
+ftfy
+modin[all]