Instructions to use haytin69/harsha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haytin69/harsha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("haytin69/harsha", 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 haytin69/harsha: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/haytin69/harsha/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://haytin69/harsha/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/haytin69/harsha/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 70fe9d95104130aff12d1274204a3a5a830c28faac743b44457a2b923c1c76c0
- Size of remote file:
- 246 MB
- SHA256:
- 7a64ff117702b026755516dbdff492380f14f2500c45c3a8fdf8b980ddd24aab
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