Instructions to use Fred99774/grapeparailara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/grapeparailara with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fred99774/grapeparailara", 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/pytorch_model.bin from Fred99774/grapeparailara: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Fred99774/grapeparailara/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Fred99774/grapeparailara/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Fred99774/grapeparailara/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 073b1bd229c603ee1b0a6584ae9025ef385e929d600be7b9e3364d6ddc21afcd
- Size of remote file:
- 246 MB
- SHA256:
- 70fa4e5d4b291c88ae6b046e50fb65a7245a42b82b9dcaf1cb52b4ffab8d693d
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