Instructions to use StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags 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 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", 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
File size: 301 Bytes
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language:
- en
base_model:
- StarkEater/NoobAIXLvpred10EQB7
pipeline_tag: image-text-to-image
library_name: diffusers
---
No trigger words needed. Trained at 1024 with _protected tags_.
Protected tags are tags which are _not dropped_ and shuffled.
I _dropped_ and shuffled only necessary tags. |