Instructions to use HyperX-Sentience/AstraX-Redefined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HyperX-Sentience/AstraX-Redefined with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HyperX-Sentience/AstraXL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("HyperX-Sentience/AstraX-Redefined") prompt = "Digital drawing of a cute anime girl with light skin, blue eyes, and brown hair. She is wearing a blue off-the-shoulder cropped sweater, navel, and beige shorts with a black belt. She is posing with one hand on her forehead, making a peace sign with the other. Simple background, vibrant yellow background. The lighting is bright and even, with shadows highlights. The camera angle is straight-on. The image quality is very high, with a sharp focus on the girl and a solid background. The aesthetic quality is very high, highly detailed, intricate details." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 107a23520c15ad837463cdf7f6db98781c7967216a5a9801bd781a3aa0a92933
- Size of remote file:
- 1.48 MB
- SHA256:
- 0d32068ea2a2d55c2b8fff27cc40cdbedae2efb7223dbe81a99c8af11439907c
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