Text-to-Image
Diffusers
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
planets
space
procedural-generation
Instructions to use sshh12/sdxl-lora-planet-textures with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sshh12/sdxl-lora-planet-textures 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("sshh12/sdxl-lora-planet-textures") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7e652c233df8c3d92a650aea20350bbdaee2dc36316071681b9c7c9bec14d2c3
- Size of remote file:
- 23.7 MB
- SHA256:
- 7523f8e886f453d330ccb475a893a1c7d0949101f7b9ca688203e89dd0c51be6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.