Instructions to use Rewatiramans/PixarTale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rewatiramans/PixarTale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rewatiramans/PixarTale", 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 unet/diffusion_pytorch_model.bin from Rewatiramans/PixarTale: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Rewatiramans/PixarTale/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Rewatiramans/PixarTale/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Rewatiramans/PixarTale/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ba5e391d33e9d9a45d78c30289d0e0fc3ce32213c12a1f1c45e0573fc249264c
- Size of remote file:
- 3.44 GB
- SHA256:
- 2119553b06fb98582281b3ea7637a6f092f6c783682539b63329f721ebab1c07
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