Instructions to use StarkEater/NyteTyde14-06-2026-flipincluded-fullfinetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StarkEater/NyteTyde14-06-2026-flipincluded-fullfinetune with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StarkEater/NyteTyde14-06-2026-flipincluded-fullfinetune", 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
Original and flipped images.
Good for generating single characters (either trained or with lora).
Can mess up when generating OCs, so use character loras for your OCs with this model.
Can mess up when doing POV romantic interactions.
Uses the classic SDXL vae.
400 epochs in total = 8400 steps in total
=> 1 epoch = 21 steps in total
=> 4 epochs = 84 steps in total
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