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 Settings
- Draw Things
- DiffusionBee
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If you are looking for our MAE-H variant, you can find that at https://huggingface.co/reachomk/gen2seg-mae-h
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You can run this model at our GitHub: https://github.com/reachomk/gen2seg
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If you are looking for our MAE-H variant, you can find that at https://huggingface.co/reachomk/gen2seg-mae-h
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You can run this model at our GitHub: https://github.com/reachomk/gen2seg or our Huggingface Space: https://huggingface.co/spaces/reachomk/gen2seg-sd
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