Instructions to use Nailoong/instruct-pix2pix-model-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nailoong/instruct-pix2pix-model-2000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nailoong/instruct-pix2pix-model-2000", torch_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
instruct-pix2pix-model-2000 / logs /instruct-pix2pix-xl /events.out.tfevents.1725892666.ubuntu.2472103.0
- Xet hash:
- bdb8d9d94eefea717575c50060675e1bcbbd44f46cbbc42d25847018a63b6db4
- Size of remote file:
- 98 kB
- SHA256:
- 7287e029eeb325d8086e64902eb6c046cc7958159c8f6854a5ee2956163aa2f6
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