Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Instructions to use AdamLucek/sdxl-base-1.0-jarekl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamLucek/sdxl-base-1.0-jarekl-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("AdamLucek/sdxl-base-1.0-jarekl-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:
- 31fce762cabd2382a9129ddf146a55d5147b17f2eeb3c23e9c18738cfa31b9b8
- Size of remote file:
- 23.4 MB
- SHA256:
- c4710374869b9f5e75ffc1f70db345bef058859d4f0ebd39b82a95b0c3b2961c
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