Instructions to use kmpartner/bkv2t-ft25test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/bkv2t-ft25test 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/bkv2t-ft25test", 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
Yesterday
-
Upload folder using huggingface_hub
Verified signaturee2515bd
-
Delete checkpoint-8000
Verified signature5fcb8ec -
Upload folder using huggingface_hub
Verified signature18f7213
-
Delete checkpoint-7000
Verified signaturee865cdf -
Upload folder using huggingface_hub
Verified signature8508648
-
Delete checkpoint-6000
Verified signatureb0710e4 -
Upload folder using huggingface_hub
Verified signatureec74480
-
Delete checkpoint-5000
Verified signature86a9995 -
Upload folder using huggingface_hub
Verified signaturefde1d5e
-
Delete checkpoint-4000
Verified signaturefa98d1f -
Upload folder using huggingface_hub
Verified signature9313403
-
Delete checkpoint-3000
Verified signatureb79c7de -
Upload folder using huggingface_hub
Verified signatured8dc92e -
Delete checkpoint-2000
6f48c1c -
Upload folder using huggingface_hub
099cb6f
-
Delete checkpoint-1000
0e46152 -
Upload folder using huggingface_hub
c52226e
-
Upload folder using huggingface_hub
09ef9a8 -
initial commit
e443a02