Instructions to use pmczip/SD1.5_LoRa_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pmczip/SD1.5_LoRa_Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pmczip/SD1.5_LoRa_Models") 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:
- ff430baac04d4fbaec844f62121f41164082cf4332b450e4689dd0c3cef6a251
- Size of remote file:
- 37.9 MB
- SHA256:
- 7be3ad940910b0e07d6be0b62bc0c6aaf7e9a6aa845b4525c47f0b1d16384b78
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