Instructions to use rootonchair/tscd_juggernaut_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rootonchair/tscd_juggernaut_final with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/Juggernaut_final", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rootonchair/tscd_juggernaut_final") 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
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Fine-tune a distill LoRA version of [Lykon/dreamshaper-7](https://huggingface.co/Lykon/dreamshaper-7) using Trajectory Segmented Consistency Model (TSCD) introduce in [Hyper-SD: Trajectory Segmented Consistency Model for
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Efficient Image Synthesis](https://arxiv.org/abs/2404.13686)
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This LoRA is fine-tuned on [laion/conceptual-captions-12m-webdataset](https://huggingface.co/datasets/laion/conceptual-captions-12m-webdataset) for 16.000 iterations using unofficial training implementation at [https:
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# Usage
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```python
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Fine-tune a distill LoRA version of [Lykon/dreamshaper-7](https://huggingface.co/Lykon/dreamshaper-7) using Trajectory Segmented Consistency Model (TSCD) introduce in [Hyper-SD: Trajectory Segmented Consistency Model for
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Efficient Image Synthesis](https://arxiv.org/abs/2404.13686)
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This LoRA is fine-tuned on [laion/conceptual-captions-12m-webdataset](https://huggingface.co/datasets/laion/conceptual-captions-12m-webdataset) for 16.000 iterations using unofficial training implementation at [https://github.com/rootonchair/consistency_models_distill](https://github.com/rootonchair/consistency_models_distill)
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# Usage
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```python
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