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 Settings
- Draw Things
- DiffusionBee
Commit History
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Conditionally add random generator to inference pipeline
0f9de12
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Add second param to init function
24ba3d1 -
Use correct python syntax
643ef8a -
Add random seeding if specified and train pipeline on base model
fc7a6bc
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Duplicate from glowforge-dev/stable-diffusion-2-1-base-custom
36c182c