Instructions to use Fred99774/parailara4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/parailara4 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/parailara4", 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 vae/diffusion_pytorch_model.bin from Fred99774/parailara4: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Fred99774/parailara4/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Fred99774/parailara4/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Fred99774/parailara4/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- f3afce1bf3ceb050f8336a3508adf883a762f4177f859cc1e4bd1beab01b576a
- Size of remote file:
- 335 MB
- SHA256:
- fc34fd7cf6506a4b1de9c12cdf1402ea2727626af0406c1355bce886da7d8205
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