Instructions to use StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags-withoutfaces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags-withoutfaces 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/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags-withoutfaces", 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
No need for trigger words.
Trained in 1024.
Some tags are protected, that is, those were not dropped but shuffled.
Oh, this doesn't have cropped faces folder in the dataset.
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Model tree for StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags-withoutfaces
Base model
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