Instructions to use charaatasnim/checkpoint-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use charaatasnim/checkpoint-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("charaatasnim/checkpoint-2", 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 optimizer.bin from charaatasnim/checkpoint-2: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/charaatasnim/checkpoint-2/resolve/main/optimizer.bin
- Command line
-
hf download hf://charaatasnim/checkpoint-2/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/charaatasnim/checkpoint-2/resolve/main/optimizer.bin
6.88 GB
- Xet hash:
- 63a68c1490613eed4026880cb9d85e000011d64aa18d29041e3cb36dee8c93d4
- Size of remote file:
- 6.88 GB
- SHA256:
- 6511ceffc372e630f4dc14ca47a457371fcb1bb1245b0ded5b903349d5697c07
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