Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Safetensors
stable-diffusion
stable-diffusion-diffusers
Instructions to use sam749/Hyper-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sam749/Hyper-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sam749/Hyper-v2", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 122447f2e42bf9bd887a6b5672e5d7b15640e442c4a7b46c3ab7d8b0bd7c7737
- Size of remote file:
- 335 MB
- SHA256:
- c76d052d85993d4d79c13444ff082f17df4fb2806658c550948107821b7756af
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.