Instructions to use ishitangupta/test_model_10_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishitangupta/test_model_10_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ishitangupta/test_model_10_test", 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
Download checkpoint-10/optimizer.bin from ishitangupta/test_model_10_test: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/ishitangupta/test_model_10_test/resolve/main/checkpoint-10/optimizer.bin
- Command line
-
hf download hf://ishitangupta/test_model_10_test/checkpoint-10/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ishitangupta/test_model_10_test/resolve/main/checkpoint-10/optimizer.bin
6.88 GB
- Xet hash:
- 3d0f09c5d29536446998f7b882321b07a5b37a565a6a22ed45a4de6f12e70cdf
- Size of remote file:
- 6.88 GB
- SHA256:
- ff034573bc2d85dc604ed38641ae027eabe27a22987dd73c64ba3deb3a7e43fb
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