Instructions to use Muapi/sdxl-hyperkraximalism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/sdxl-hyperkraximalism 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("Muapi/sdxl-hyperkraximalism") 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:
- d7bf4133f0ab986afa5db6f97bce87982a966c1618da6eca78697dc19af7d0ab
- Size of remote file:
- 317 kB
- SHA256:
- 26123c372d43fb5c863f31c1183e469b7f2c1522bfa2bebdb5a5ac95d0b731d8
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