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:
- 29110aad0ee941cdc92e8fb139ccfbfc1fd33d215f4ef93eff194cfed22b0e2d
- Size of remote file:
- 6.59 MB
- SHA256:
- 5e6c55be32c88c39a49da6dd60fd166fbb5df8872595d44d8026ef7746f8292a
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