Instructions to use glowforge-prod/stable-diffusion-2-1-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glowforge-prod/stable-diffusion-2-1-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-prod/stable-diffusion-2-1-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
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("glowforge-prod/stable-diffusion-2-1-custom", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]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 developed by Robin Rombach and Patrick Esser.
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