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", torch_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:
- 977693184893f77592df0fbf239c195a6f263fc9b27271029a016093c7fa1058
- Size of remote file:
- 1.94 MB
- SHA256:
- fdaaae59b4523f1b2e6bb9b58bc59c212ba8e4fe355b7107a0c811b9752b56ba
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