Instructions to use stabilityai/stable-diffusion-xl-base-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stabilityai/stable-diffusion-xl-base-1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Image generation comparison report
#240
by tedmasterwebgmail - opened
I'm working on a personal project that requires the creation of hundreds of "selfies" (headshots, actually). I compared 20 models and produced samples for each using the same prompt. I'm posting this here in case it can save anyone time when doing similar research. You can see the report here: https://www.chicagoitsystems.com/ai-model-samples/
I would love your feedback!
Ted Stresen-Reuter
Cool project :D