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:
- fc704284e4b1ec617d7f4176ce89ad62e780513e307077c714c8d8fb5450e245
- Size of remote file:
- 6.59 MB
- SHA256:
- 84266333993b497902e70e6949363c9e6636a33b2faef5171d3851fb7b78328e
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