Instructions to use diffusers/t2iadapter_canny_sd14v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/t2iadapter_canny_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_canny_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:
- c06c7d6546a0162d83ceca2ff1e8662441ecf7d1118caa69f19b9da4d1b57cf1
- Size of remote file:
- 308 MB
- SHA256:
- 24c267768c1f636a4fb81460d06fbc626fc9718f49d9f719d071e15e0235ef37
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