Instructions to use diffusers/t2iadapter_sketch_sd15v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/t2iadapter_sketch_sd15v2 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_sketch_sd15v2", 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:
- 8d706ddc0c922810bdf481223260e89055403992e7cbe0bfa5e0a9195fd47d75
- Size of remote file:
- 308 MB
- SHA256:
- fae8f2eb4e4646993c1c2c8c73765eb46d7a8cf6579e1ca974374cd10f303434
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