Instructions to use aimlabs/instruct-pix2pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimlabs/instruct-pix2pix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aimlabs/instruct-pix2pix", 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-100/optimizer.bin from aimlabs/instruct-pix2pix: direct link, hf CLI and curl.
- Browser
- Download file 6.93 GB
-
https://huggingface.co/aimlabs/instruct-pix2pix/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://aimlabs/instruct-pix2pix/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/aimlabs/instruct-pix2pix/resolve/main/checkpoint-100/optimizer.bin
6.93 GB
- Xet hash:
- bda8ca1b4f6d9ee24eb4784d19e3c2f17e90bbbf43745a26a19c17d3b92d9017
- Size of remote file:
- 6.93 GB
- SHA256:
- 4fec5ea5cc9b03efb9ec3881c1d7fff542289c7bba2641f7978484eb8b303d4b
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