Instructions to use eric45544/instruct-pix2pix-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eric45544/instruct-pix2pix-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eric45544/instruct-pix2pix-model", 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 checkpoint-150/optimizer.bin from eric45544/instruct-pix2pix-model: direct link, hf CLI and curl.
- Browser
- Download file 20.5 GB
-
https://huggingface.co/eric45544/instruct-pix2pix-model/resolve/main/checkpoint-150/optimizer.bin
- Command line
-
hf download hf://eric45544/instruct-pix2pix-model/checkpoint-150/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/eric45544/instruct-pix2pix-model/resolve/main/checkpoint-150/optimizer.bin
20.5 GB
- Xet hash:
- 68e0fdbda03fe2f3c2cdc00bba16b5a2b68c2edb3d2a4de801203750ec456a65
- Size of remote file:
- 20.5 GB
- SHA256:
- 821a3f3016d07ba1cd6b0e934103e3a6dd0b617821021c202fcafdfe60d323cc
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