Instructions to use diffusers-internal-dev/private-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/private-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/private-model", 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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Update CLIP L with projection (#5)
Verified signature- update text encoder (39a0d16a26f98732a56deaff725856b13f2b8df0) - update dtype (092447ec88ce82a7fd0595f19e2c99b097499fc8)3442676
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Text Encoders (#3)
Verified signature- add text encoders (e24480738ec1a4ed5ab0389570f5b7275a2a5cf8) - remove .bin (e99a325877315a01052bf7c439f257603b175a79)d8de889