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

- Xet hash:
- e06aa04ed8034c45e1a592b81e87db3b0b1d3544ea22e9900845b6a705d00d88
- Size of remote file:
- 2.78 MB
- SHA256:
- 14ad10bb7a1863d6d1e18dd6ba83ac0599c67cdb616d02153e08882cf32312a7
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