Instructions to use kushaaagr/controlnet-color-guider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kushaaagr/controlnet-color-guider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kushaaagr/controlnet-color-guider", 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
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Download README.md from kushaaagr/controlnet-color-guider: direct link, hf CLI and curl.
- Browser
- Download file 463 Bytes
-
https://huggingface.co/kushaaagr/controlnet-color-guider/resolve/d7d48db8e4ef68bf091e3e329906ed4560fcf407/README.md
- Command line
-
hf download hf://kushaaagr/controlnet-color-guider@d7d48db8e4ef68bf091e3e329906ed4560fcf407/README.md
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curl -L -o README.md https://huggingface.co/kushaaagr/controlnet-color-guider/resolve/d7d48db8e4ef68bf091e3e329906ed4560fcf407/README.md
463 Bytes
metadata
language:
- en
base_model:
- Manojb/stable-diffusion-2-1-base
library_name: diffusers
tags:
- art
- code
pipeline_tag: image-text-to-image
Condition image (8x8 color guide):
Prompt: A dog in water
Output: 