Instructions to use Laughify/aipom-from-pokemon-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Laughify/aipom-from-pokemon-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laughify/aipom-from-pokemon-diffusion", 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 Laughify/aipom-from-pokemon-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Laughify/aipom-from-pokemon-diffusion/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Laughify/aipom-from-pokemon-diffusion@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Laughify/aipom-from-pokemon-diffusion/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 111b2781cfe1d521c114630545eb77146b2e578e68e5bb5de7aaedfc4fad719a
- Size of remote file:
- 492 MB
- SHA256:
- 9abd7b3db2796a90be4f61483bf6d94a4a17abc1b4251020d5e599aff55089cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.