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🎁Generate detailed images from text prompts using Stable Diffusion.
Edit or extend images with context-aware generation.
Fine-tune models with DreamBooth, LoRA, or custom datasets.
Run models on consumer GPUs with optimized performance.
Explore generative models for audio, video, and 3D synthesis.
Use `pip install diffusers transformers` or clone Stability’s GitHub repo.
Use `from_pretrained()` to load Stable Diffusion or custom checkpoints.
Pass a prompt to the pipeline and render the output locally or via API.
Use parameters like guidance scale, seed, and resolution for control.
Export generated images and integrate into creative workflows.
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2")
pipe = pipe.to("cuda")
prompt = "A futuristic cityscape at sunset, ultra detailed"
image = pipe(prompt).images[0]
image.save("output.png")
Generate visual ideas for games, films, and design projects.
Create unique visuals for campaigns, ads, and social media.
Visualize prototypes and design variations quickly.
Produce original artworks for digital galleries and marketplaces.
Explore generative models for multimodal synthesis and creativity.
Explore Stability AI’s ecosystem and find the tools, platforms, and docs to accelerate your workflow.
Common questions about Stability AI’s capabilities, usage, and ecosystem.