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", torch_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
File size: 297 Bytes
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license: openrail
library_name: diffusers
---
## Diffusers' model of ControlNet (scribble).
Converted from https://huggingface.co/lllyasviel/ControlNet
- This repository is intended for development in support of ControlNet for Diffusers.
- The model format may be changed without notice.
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