Instructions to use GraydientPlatformAPI/realmarkplus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realmarkplus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/realmarkplus", 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 GraydientPlatformAPI/realmarkplus: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/realmarkplus/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/realmarkplus/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/realmarkplus/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- 251173cbd6fa5469b3d4089b114f8fb6c98209b68fb09dd536e0067aa34f4f43
- Size of remote file:
- 246 MB
- SHA256:
- e1a07a90c5db4e468b8a72f5952e765c4dd3d629b07a5735b5268e1fe031802e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.