Instructions to use bdsqlsz/qinglong_controlnet-lllite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bdsqlsz/qinglong_controlnet-lllite with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bdsqlsz/qinglong_controlnet-lllite", 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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license: cc-by-nc-sa-4.0
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Pre-trained models and output samples of ControlNet-LLLite form bdsqlsz
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Inference with ComfyUI: https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI
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license: cc-by-nc-sa-4.0
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Thank you for support my work.
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https://www.buymeacoffee.com/bdsqlsz
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Support list will show in main page.
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Pre-trained models and output samples of ControlNet-LLLite form bdsqlsz
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Inference with ComfyUI: https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI
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