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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3a189941d0658d4f60ace57d1280b066b53ba16926dde68eed9869321b277323
- Size of remote file:
- 4.27 GB
- SHA256:
- 856d133dddd6a5a27ec01dbbdcd98c970dbae57bba1eaf9fc76f627bee61d4f5
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