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README.md

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+---
+title: SD 2.1 CPU
+emoji: 🐢
+colorFrom: green
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.23.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: Dagfinn1962/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("dreamlike-art/dreamlike-photoreal-2.0", torch_dtype=torch.float16, safety_checker=None)
+upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16)
+upscaler = upscaler.to(device)
+pipe = pipe.to(device)
+
+def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale, upscale_prompt, upscale_neg, upscale_scale, upscale_steps):
+    generator = torch.Generator(device=device).manual_seed(seed)
+    if upscale == "Yes":
+        low_res_latents = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images
+        image = upscaler(prompt=upscale_prompt, negative_prompt=upscale_neg, image=low_res_latents, num_inference_steps=upscale_steps, guidance_scale=upscale_scale, generator=generator).images[0]
+    else:
+        image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
+    return image
+    
+gr.Interface(theme='ParityError/Anime', fn=genie, inputs=[gr.Textbox(label='Input field right under here(Prompt)'), 
+                               gr.Textbox(label='What You dont want (Negative Prompt)'),
+                               gr.Slider(512, 1024, 768, step=128, label='Height'),
+                               gr.Slider(512, 1024, 768, step=128, label='Width'),
+                               gr.Slider(1, maximum=15, value=10, step=.25), 
+                               gr.Slider(25, maximum=100, value=50, step=25), 
+                               gr.Slider(minimum=1, step=1, maximum=9999999999999999, randomize=True), 
+                              # gr.Radio(["Yes", "No"], label='Upscale?'),
+                               #gr.Textbox(label='Upscaler Prompt: Optional'),
+                               #gr.Textbox(label='Upscaler Negative Prompt: Both Optional And Experimental'),
+                               #gr.Slider(minimum=0, maximum=15, value=0, step=1, label='Upscale Guidance Scale'),
+                               #gr.Slider(minimum=5, maximum=25, value=5, step=5, label='Upscaler Iterations')
+             
+                              ],
+             outputs=gr.Image(label='Generated Image'), 
+             title="Daylight SD (CPU)", 
+             description="<br> <h4> <div style='width:100%'> Info:Daylight SD (GPU) <br> This is a lightweight App mostly to show how Stable diffusion works.<br> Aichatbot.ai is a project into Image Creation with Stable Diffusion. <br> If you like our Apps Please consider signing up underneath. <br> We will speed up the  Apps with a little contribution from Our Members.<br> PS! We are sorry to repeat but this app is also on Huggingface.co!</h4> </div>", 
+             article = "Online App: <a href=\"https://www.aichatbot.ai\">www.aichatbot.ai</a>").launch(debug=True, max_threads=True)

app1.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("dreamlike-art/dreamlike-photoreal-2.0", torch_dtype=torch.float16, safety_checker=None)
+upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16)
+upscaler = upscaler.to(device)
+pipe = pipe.to(device)
+
+def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale, upscale_prompt, upscale_neg, upscale_scale, upscale_steps):
+    generator = torch.Generator(device=device).manual_seed(seed)
+    if upscale == "Yes":
+        low_res_latents = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images
+        image = upscaler(prompt=upscale_prompt, negative_prompt=upscale_neg, image=low_res_latents, num_inference_steps=upscale_steps, guidance_scale=upscale_scale, generator=generator).images[0]
+    else:
+        image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator).images[0]
+    return image
+    
+gr.Interface(theme='HaleyCH/HaleyCH_Theme', fn=genie, inputs=[gr.Textbox(label='Input field right under here(Prompt)'), 
+                               gr.Textbox(label='What You dont want (Negative Prompt)'),
+                               gr.Slider(512, 1024, 768, step=128, label='Height'),
+                               gr.Slider(512, 1024, 768, step=128, label='Width'),
+                               gr.Slider(1, maximum=15, value=10, step=.25), 
+                               gr.Slider(25, maximum=100, value=50, step=25), 
+                               gr.Slider(minimum=1, step=1, maximum=9999999999999999, randomize=True), 
+                               gr.Radio(["Yes", "No"], label='Upscale?'),
+                               gr.Textbox(label='Upscaler Prompt: Optional'),
+                               gr.Textbox(label='Upscaler Negative Prompt: Both Optional And Experimental'),
+                               gr.Slider(minimum=0, maximum=15, value=0, step=1, label='Upscale Guidance Scale'),
+                               gr.Slider(minimum=5, maximum=25, value=5, step=5, label='Upscaler Iterations')
+             
+                              ],
+             outputs=gr.Image(label='Generated Image'), 
+             title="Our Free Image Creator", 
+             description="<br><br><b/> TIPS:<br>To get the best result read the instructions undeneath the App.<br> This Free App is slow producing Images.<br> Join us , And get access to this App and many more. They work faster and have more advanced features", 
+             article = "Online App: <a href=\"https://www.aichatbot.ai\">www.aichatbot.ai</a>").launch(debug=True, max_threads=True)

requirements.txt

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+-f --extra-index-url https://download.pytorch.org/whl/cu116
+torch
+numpy
+torchvision
+git+https://github.com/huggingface/diffusers
+transformers
+accelerate
+ftfy
+xformers
+modin[all]
+gradio