SD-QAIC Collection
Collection
The Hyratek - Qualcomm Model Collection features a comprehensive set of AI models optimized for inference deployment on the Qualcomm Cloud AI 100 • 4 items • Updated • 1
How to use Hyratek/turbo_vision_xl-QAIC with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Hyratek/turbo_vision_xl-QAIC", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Hyratek/turbo_vision_xl-QAIC", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]SDXL-Turbo is a fast generative text-to-image model that can synthesize photorealistic images from a text prompt in a single network evaluation.
This model, derived from SDXL-Turbo (a distilled version of SDXL 1.0), has been converted and optimized to run efficiently on Qualcomm Cloud AI 100 hardware. Leveraging Qualcomm's developer-centric toolchain, it incorporates reengineered Transformer components and precision-optimized graph transformations for enhanced performance on-device.
Base model
stabilityai/sdxl-turbo