Instructions to use kmpartner/k512-ft-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/k512-ft-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/k512-ft-test", 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
Commit History
-
Upload folder using huggingface_hub
Verified signature813782e
-
Upload folder using huggingface_hub
Verified signature6952349
-
Delete checkpoint-2000
Verified signature6b47398 -
Upload folder using huggingface_hub
Verified signature60a466f
-
Delete vae
Verified signature7bd917c -
Delete unet
Verified signature5b1852e -
Delete tokenizer_2
Verified signature119b7a4 -
Delete tokenizer
Verified signaturef6804d3 -
Delete text_encoder_2
Verified signature70c048e -
Delete text_encoder
Verified signaturecaacdb8 -
Delete scheduler
Verified signature7a2aa5d -
Delete checkpoint-1000
Verified signature62b93de -
Upload folder using huggingface_hub
Verified signature58ecfd6
-
Delete model_index.json
Verified signaturebc40572 -
Upload folder using huggingface_hub
Verified signature8f13876 -
Upload folder using huggingface_hub
Verified signaturecf4e048 -
initial commit
Verified signature28b0e95