Instructions to use Fred99774/parailara5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/parailara5 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/parailara5", 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/parailara5: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Fred99774/parailara5/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Fred99774/parailara5/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Fred99774/parailara5/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- c2afbbc82ba7b387829d1e23534a7a4a689d104c7445962cc9699a6b989a8ae3
- Size of remote file:
- 246 MB
- SHA256:
- 2a50b3d45fd8e056765178aec256c7d418cded0e09ac20925dc95f7bfc003bed
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