Instructions to use h1t/TCD-SDXL-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use h1t/TCD-SDXL-LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("h1t/TCD-SDXL-LoRA") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download assets/compare_sdxl_lightning.png from h1t/TCD-SDXL-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 19.7 MB
-
https://huggingface.co/h1t/TCD-SDXL-LoRA/resolve/main/assets/compare_sdxl_lightning.png
- Command line
-
hf download hf://h1t/TCD-SDXL-LoRA/assets/compare_sdxl_lightning.png
-
curl -L -o compare_sdxl_lightning.png https://huggingface.co/h1t/TCD-SDXL-LoRA/resolve/main/assets/compare_sdxl_lightning.png
19.7 MB
- Xet hash:
- cd9d8ce85553052c7752d162322b5b00db2ad73b631e9e4b87b5c7d06cc1b910
- Size of remote file:
- 19.7 MB
- SHA256:
- 711837b2782c9b0b9eba156a44a9e64d567daf88ed32f8f3e017dcd11f2ab258
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