Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Instructions to use Vanee/codingArt-sdxl-base-1.0-vf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vanee/codingArt-sdxl-base-1.0-vf 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("Vanee/codingArt-sdxl-base-1.0-vf") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 661357030f254be7a15276e213b2046b0d0457d9e97a99b0f465f9baba185baf
- Size of remote file:
- 47.4 MB
- SHA256:
- 22db445f03a320b8bef5a0b3c696eb02dbca61669dd94547b6e56392afcda5a6
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