Instructions to use trongg/pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trongg/pokemon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("trongg/pokemon", 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 trongg/pokemon: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/trongg/pokemon/resolve/main/optimizer.bin
- Command line
-
hf download hf://trongg/pokemon/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/trongg/pokemon/resolve/main/optimizer.bin
6.88 GB
- Xet hash:
- 0b55461f69bfb343a4a3e87de1cfa042ebe709f48db63e8a02d35259ccc68863
- Size of remote file:
- 6.88 GB
- SHA256:
- 8708107843ed2d08675c365834f5340fde21742870cccc66a1de9b3ded3f08a2
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