Furkan12 commited on
Commit
9171e4e
·
verified ·
1 Parent(s): 035d090
Files changed (1) hide show
  1. app.py +39 -0
app.py ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import gradio as gr
2
+ import modin.pandas as pd
3
+ import torch
4
+ import numpy as np
5
+ from PIL import Image
6
+ from diffusers import DiffusionPipeline
7
+ from huggingface_hub import login
8
+ #import os
9
+
10
+ #login(token=os.environ.get('HF_KEY'))
11
+
12
+ import torch
13
+ from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
14
+
15
+ model_id = "stabilityai/stable-diffusion-2-1"
16
+
17
+ # Use the DPMSolverMultistepScheduler (DPM-Solver++) scheduler here instead
18
+ pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
19
+ pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
20
+ pipe = pipe.to("cuda")
21
+
22
+ def resize(value,img):
23
+ img = Image.open(img)
24
+ img = img.resize((value,value))
25
+ return img
26
+
27
+ def infer(source_img, prompt, negative_prompt, guide, steps, seed, Strength):
28
+ generator = torch.Generator(device).manual_seed(seed)
29
+ source_image = resize(768, source_img)
30
+ source_image.save('source.png')
31
+ image = pipe(prompt, negative_prompt=negative_prompt, image=source_image, strength=Strength, guidance_scale=guide, num_inference_steps=steps).images[0]
32
+ return image
33
+
34
+ gr.Interface(fn=infer, inputs=[gr.Image(source="upload", type="filepath", label="Raw Image. Must Be .png"), gr.Textbox(label = 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum'), gr.Textbox(label='What you Do Not want the AI to generate.'),
35
+ gr.Slider(2, 15, value = 7, label = 'Guidance Scale'),
36
+ gr.Slider(1, 25, value = 10, step = 1, label = 'Number of Iterations'),
37
+ gr.Slider(label = "Seed", minimum = 0, maximum = 987654321987654321, step = 1, randomize = True),
38
+ gr.Slider(label='Strength', minimum = 0, maximum = 1, step = .05, value = .5)],
39
+ outputs='image', title = "Stable Diffusion XL 1.0 Image to Image Pipeline CPU", description = "For more information on Stable Diffusion XL 1.0 see https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0 <br><br>Upload an Image (<b>MUST Be .PNG and 512x512 or 768x768</b>) enter a Prompt, or let it just do its Thing, then click submit. 10 Iterations takes about ~900-1200 seconds currently. For more informationon about Stable Diffusion or Suggestions for prompts, keywords, artists or styles see https://github.com/Maks-s/sd-akashic", article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").queue(max_size=5).launch()