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:
- 1ac82886c944e8b5bf7912494740c261cbea44542ca9d9e406a19e1b06ebae2d
- Size of remote file:
- 492 MB
- SHA256:
- 3b630c6eaffd4c1385f652c4e732f7f367653ba532ddfeefcdbab5479d3c3bee
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