Instructions to use ZavGeorge/SD_1.4_simpson_tune_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZavGeorge/SD_1.4_simpson_tune_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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ZavGeorge/SD_1.4_simpson_tune_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- fdfb663a4986f057b60d00ae8bc345132e75ba97097bcb810035790bfd3a6fd0
- Size of remote file:
- 6.59 MB
- SHA256:
- 0fb08297475c20b6b5407e0c613e04d6aef4c1f5373b93c5583028dc40d21bd6
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