Don't have a high-end GPU? You can still run Stable Diffusion using Google Colab's free resources! In this tutorial, I demonstrate how to set up and run Stable Diffusion directly in your browser without getting blocked by Google.
I cover the entire process: setting up your Colab notebook, configuring the runtime for GPU usage, installing the necessary libraries, and fetching models from Hugging Face. I also explain how to bypass the safety checker to ensure your generations aren't unnecessarily blocked, while keeping things responsible.
Google Colab: https://colab.research.google.com/
Script Code1:
!pip install diffusers["torch"] transformers
!pip install accelerate
!pip install git+https://github.com/huggingface/diffusers
Script Code2:
from diffusers import AutoPipelineForText2Image
import torch
mymodel = "digiplay/Realisian_v5"
myprompt="masterpiece,cat, wizard cat"
mynegative_prompt = ""
myheight=768
mywidth=512
mysteps=25
myguidance_scale = 7.5
pipeline = AutoPipelineForText2Image.from_pretrained(
mymodel, torch_dtype=torch.float16, variant="fp16", use_safetensors=True
).to("cuda")
pipeline.safety_checker = None
image = pipeline(
prompt=myprompt,
negative_prompt=mynegative_prompt,
height=myheight, width=mywidth,
num_inference_step=mysteps,
guidance_scale = myguidance_scale,
).images[0]
image
Original YouTube Tutorial: https://youtu.be/JFKM-PubsNk
Video Details:
* Original Publish Date: March 20, 2024
* Focus: Stable Diffusion / Google Colab / Free AI Computing
* Test using RTX 4060 TI 16 GB of VRAM
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