Instructions to use GraydientPlatformAPI/truefuta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/truefuta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/truefuta", 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 GraydientPlatformAPI/truefuta: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/GraydientPlatformAPI/truefuta/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://GraydientPlatformAPI/truefuta/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/GraydientPlatformAPI/truefuta/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 94d0f0c2316c1b4f7e3bb9693218fa7874570f6ddbbb843a2deb18d44f62684c
- Size of remote file:
- 492 MB
- SHA256:
- b8bfb6ce0c5632cf94850e693146afa9d5e7eba1b970657bef89628a38758999
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