Instructions to use fassabilf/pilot-mix-sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fassabilf/pilot-mix-sd15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fassabilf/pilot-mix-sd15", 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
2 days ago
-
run half: state optimizer step 400
Verified signature382cc3b -
run half: run_config.json
Verified signaturefe61d8d -
run half: monitor_log.csv
Verified signaturedd094a5 -
run half: train_log.csv
Verified signaturebfc5381 -
perpanjangan 400 step: unet_step400
Verified signature8d0f340 -
pilot campuran skor setengah awal: unet_step350
Verified signature58a5085 -
pilot campuran skor setengah awal: unet_step300
Verified signature78dbb03 -
pilot campuran skor setengah awal: unet_step250
Verified signature4c9d0ca -
pilot campuran skor setengah awal: unet_step150
Verified signature617f400 -
pilot campuran skor setengah awal: unet_step100
Verified signature6fafe08 -
pilot campuran skor setengah awal: unet_step50
Verified signature7e0b9bc -
pilot campuran skor setengah awal: unet_step25
Verified signature1bb5038 -
pilot campuran skor setengah awal: unet_step10
Verified signature238f44e -
pilot campuran skor setengah awal: unet_step200
Verified signatureaf1f3f7 -
run 2 pilot campuran skor: checkpoint + state optimizer
Verified signature8df0849 -
initial commit
Verified signature5eb4f88