Instructions to use ajulkjose/my-thanos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ajulkjose/my-thanos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ajulkjose/my-thanos", 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 ajulkjose/my-thanos: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ajulkjose/my-thanos/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ajulkjose/my-thanos/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ajulkjose/my-thanos/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 610c39ab15a4fa64b09c40277e28456d347532321b87bf966595b93251da1fd8
- Size of remote file:
- 492 MB
- SHA256:
- eeb694cdde8c35463d286a84233f1a81261f6208a8c33f58b0faad43f881beb2
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