Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Realism
Girls
Analog
alexds9
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Hyperlink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Hyperlink with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Hyperlink", 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
Download text_encoder/model.safetensors from Yntec/Hyperlink: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/Hyperlink/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://Yntec/Hyperlink/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yntec/Hyperlink/resolve/main/text_encoder/model.safetensors
492 MB
- Xet hash:
- 2307b499344df97a5bd72062a8a21ae886a3fa6214b711e078f55f8c0f0041c1
- Size of remote file:
- 492 MB
- SHA256:
- 978e234a62782e327daba21b1f89e556b54923b7110c341660dd8d540c7d8087
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