Instructions to use georgefen/Hi-SD3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use georgefen/Hi-SD3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("georgefen/Hi-SD3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Enable 2048x2048 Generation for Stable Diffusion 3
SD3 generates noticeable artifacts at high resolutions, indicating that the positional embeddings at high positions have not been well-trained.
I performed 2000 steps of full fine-tuning on the Stable Diffusion 3 medium model using a 2048x2048 dataset, enabling SD3 to achieve good generation results at this resolution.
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