Instructions to use namitha24112003/abc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use namitha24112003/abc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("namitha24112003/abc", 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 namitha24112003/abc: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/namitha24112003/abc/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://namitha24112003/abc@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/namitha24112003/abc/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 3869200e386185a3cbdda27f37c2eb759d4f7b52d3c31d787579fd27cb0388ca
- Size of remote file:
- 246 MB
- SHA256:
- b90fe51d598607b1d2679acddfa5ce57db5709f52dd64d22f7b3316fd3c62867
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