Instructions to use senmaonk/loopfree-sd2.1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use senmaonk/loopfree-sd2.1-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("senmaonk/loopfree-sd2.1-base", 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
-
Add pipeline tag, library name, link to code
Verified signatureThis PR makes the model more discoverable by adding `pipeline_tag: text-to-image` as metadata. It also adds `library_name: diffusers` as well as a link to the Github repository, ensuring people can find the relevant code to reproduce the results.57dee5c
-
Upload model_index.json
Verified signature289fd98
-
Upload 16 files
Verified signaturecd39d94
-
Upload 2 files
Verified signatureddf1984 -
Delete unet
Verified signaturefaadb24 -
Create unet
Verified signature51599e3 -
initial commit
Verified signature53a0cef