Instructions to use MdEndan/stable-diffusion-lora-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MdEndan/stable-diffusion-lora-fine-tuned 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("MdEndan/stable-diffusion-lora-fine-tuned") 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:
- 2e1713c6f657639dc9aa75b1fccc79b4ec0dcd1d71777dc7630e404749bdafbd
- Size of remote file:
- 6.59 MB
- SHA256:
- 3b0a6477324f1fe37e12bccc70ce0bf321aadadb8ccec22927504ba328f47903
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