Instructions to use glowforge-dev/stable-diffusion-2-1-base-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glowforge-dev/stable-diffusion-2-1-base-custom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("glowforge-dev/stable-diffusion-2-1-base-custom", 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 Settings
- Draw Things
- DiffusionBee
| # Stable Diffusion v2-1 Custom Implementation | |
| Custom implementation of the Stable Diffusion v2.1 base model for Glowforge. | |
| Forked from the [Stable Diffusion v2.1 base model](https://huggingface.co/stabilityai/stable-diffusion-2-1-base) developed by Robin Rombach and Patrick Esser. | |