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
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Download README.md from StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags: direct link, hf CLI and curl.
- Browser
- Download file 301 Bytes
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https://huggingface.co/StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags/resolve/main/README.md
- Command line
-
hf download hf://StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags/README.md
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curl -L -o README.md https://huggingface.co/StarkEater/NyteTydeNoobAIXLvpred1.0EqB7-1024-with-protectedtags/resolve/main/README.md
301 Bytes
metadata
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 but shuffled.
I dropped and shuffled only necessary tags.