Instructions to use Souvikrad365/ctscanbrain28may with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Souvikrad365/ctscanbrain28may with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Souvikrad365/ctscanbrain28may", 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 Souvikrad365/ctscanbrain28may: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Souvikrad365/ctscanbrain28may/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Souvikrad365/ctscanbrain28may/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Souvikrad365/ctscanbrain28may/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- a7eb0624c4cd91a943dab3498618d7c60df0d0c453dd48af11acf3d25eec1c8b
- Size of remote file:
- 246 MB
- SHA256:
- 2798bed95b4b6afb8d24da180346218021aafb4a6d6f3e87e3c459425025f5f2
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