FurkanGozukara/Stable-Diffusion is a GitHub repository that provides a comprehensive collection of tools, scripts, and resources for working with Stable Diffusion, a popular text-to-image generation model. The repository includes various implementations, optimizations, and utilities to enhance the Stable Diffusion experience for both beginners and advanced users.

Pros

• Extensive collection of tools and scripts for Stable Diffusion
• Regular updates and active maintenance
• Includes optimizations for improved performance
• Provides resources and guides for users of all skill levels

Cons

• Large repository size may be overwhelming for beginners
• Some advanced features may require additional setup or dependencies
• Documentation could be more structured and organized
• May require significant computational resources for optimal performance

Code Examples

1. Loading and using a Stable Diffusion model:

from diffusers import StableDiffusionPipeline
import torch

model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "A beautiful sunset over a calm ocean"
image = pipe(prompt).images[0]
image.save("generated_image.png")

2. Applying textual inversion for custom concepts:

from diffusers import StableDiffusionPipeline
import torch

model_id = "path/to/fine_tuned_model"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "A <custom-concept> in the style of Van Gogh"
image = pipe(prompt).images[0]
image.save("custom_concept_image.png")

3. Using LoRA (Low-Rank Adaptation) for fine-tuning:

from diffusers import StableDiffusionPipeline
import torch

base_model_id = "runwayml/stable-diffusion-v1-5"
lora_model_id = "path/to/lora_model"

pipe = StableDiffusionPipeline.from_pretrained(base_model_id, torch_dtype=torch.float16)
pipe.unet.load_attn_procs(lora_model_id)
pipe = pipe.to("cuda")

prompt = "A portrait in the style of the LoRA model"
image = pipe(prompt).images[0]
image.save("lora_generated_image.png")

Getting Started

To get started with the FurkanGozukara/Stable-Diffusion repository:

1. Clone the repository:

   git clone https://github.com/FurkanGozukara/Stable-Diffusion.git
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Follow the instructions in the repository's README for setting up specific tools and scripts.

4. Run the desired script or use the provided notebooks to generate images with Stable Diffusion.