Instructions to use Oedon42/oldpainter-lora-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Oedon42/oldpainter-lora-xl 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("Oedon42/oldpainter-lora-xl") 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:
- 6e604595e9edce2761cee8cefc091738c92908d1023a36e82df94a6c8aa9f55b
- Size of remote file:
- 24.2 MB
- SHA256:
- 1224df739955ba3b8cae0b0cbc6462b35f5c88c6086edd6dd0dca81d91c04350
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