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 text_encoder/pytorch_model.bin from Rewatiramans/PixarTale: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Rewatiramans/PixarTale/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Rewatiramans/PixarTale/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rewatiramans/PixarTale/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 45ac19e24e4d80cae07c8769751b28165fd2227bfef9a0b354a45442393e02cd
- Size of remote file:
- 246 MB
- SHA256:
- 8ac0e96bc118753c63cd36ea49f0b607c17661239822df4933e6be975c87dbd2
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