Instructions to use reachomk/gen2seg-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use reachomk/gen2seg-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("reachomk/gen2seg-sd", 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
- Draw Things
- DiffusionBee
Add license, pipeline tag, and library_name
#1
by nielsr HF Staff - opened
This PR adds the pipeline tag, library name and license to the model card, which makes the model easier to discover at https://huggingface.co/models?pipeline_tag=image-segmentation.