How to build a GUI for a Stable Diffusion texture generator using Python
This video shows how you can build your own user interface to create a texture generator using Stable Diffusion in less than 40 lines of Python. We use the Replicate API, which gives us access to various machine learning models in the cloud. So you can quickly test various models (e.g., image upscaling, image to prompt, image restoration etc.) without downloading huge amounts of training data.
Download Anchorpoint to follow this tutorial: https://www.anchorpoint.app/
Anchorpoint Python documentation: https://docs.anchorpoint.app/docs/5-A...
Replicate API: https://replicate.com/
00:00 Intro
00:13 Final result
01:14 Project setup
04:09 Building the input dialog
05:38 Triggering the button click function
06:52 Getting an API token
07:37 Creating the image generation function
09:25 Testing the model
11:20 Downloading our generated model
12:40 Testing the almost final version
12:58 Storing the prompt with the image
14:46 Extension possibilities
Final code
---
import anchorpoint as ap
import apsync as aps
import replicate
import requests, os
ctx = ap.Context.instance()
ui = ap.UI()
def generate(message):
os.environ["REPLICATE_API_TOKEN"] = "your own API token"
progress = ap.Progress("Running Stable Diffusion", show_loading_screen=True)
model = replicate.models.get("tommoore515/material_stable_diffusion")
output_url = model.predict(prompt=message,num_inference_steps=10)
count = len(os.listdir(ctx.path))
file_path = ctx.path+"/image_"+str(count)+".png"
http_request = requests.get(output_url[0], stream = True)
if http_request.status_code == 200:
with open(file_path, 'wb') as file:
for chunk in http_request:
file.write(chunk)
aps.set_attribute_text(file_path,"Prompt",message)
def click(dialog):
input = dialog.get_value("prompt")
ctx.run_async(generate,input)
dialog.close()
def create_dialog():
dialog = ap.Dialog()
dialog.title = "Texture from Prompt"
dialog.add_text("Prompt: ").add_input(placeholder="electric sheep, neon, synthwave", var="prompt", width=400)
dialog.add_button("Generate Texture",callback = click)
dialog.show()
create_dialog()
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#stablediffusion #ai #python
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