Instructions to use kmpartner/xsds-fttest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmpartner/xsds-fttest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmpartner/xsds-fttest", 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 checkpoint-5000/optimizer.bin from kmpartner/xsds-fttest: direct link, hf CLI and curl.
- Browser
- Download file 2.53 GB
-
https://huggingface.co/kmpartner/xsds-fttest/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://kmpartner/xsds-fttest/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/kmpartner/xsds-fttest/resolve/main/checkpoint-5000/optimizer.bin
2.53 GB
- Xet hash:
- 9e376aaf78c30ec1f8ab73be909f5c20effca3fc4c27708cb09ec7f313eebd0b
- Size of remote file:
- 2.53 GB
- SHA256:
- 8fade46c983be92dbcbf218dc2a10c3b576460eca9e9a8ff4de5ed86bc4b3f98
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