Instructions to use nlightcho/control_sd15_scribble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nlightcho/control_sd15_scribble with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nlightcho/control_sd15_scribble", 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
- Xet hash:
- 1a9206c3a356e3430552a64fad4e8cc071e930c0a30340b60f6f26047a365ea6
- Size of remote file:
- 1.45 GB
- SHA256:
- 9c5d4c38e9d2a3e23fa38cad20ce6bbca5d5c3a73818fe167bf4004453d9b36e
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