Instructions to use diffusers/t2iadapter_seg_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/t2iadapter_seg_sd14v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/t2iadapter_seg_sd14v1", 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
- Xet hash:
- 6d67987160697bcbdb2ba5d3d3c83d31dbc5a73ce8b107e4e15d2817d9ff490c
- Size of remote file:
- 309 MB
- SHA256:
- a80125e62bf236453ce925aa868166390b3c29138b68764ea9ebb1baadbea7db
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