Instructions to use Seokeon/example5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seokeon/example5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Seokeon/example5") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f3db102950a4475b660888ad0491603ac37562d05c922f420c884a8afd6fe8fb
- Size of remote file:
- 6.59 MB
- SHA256:
- 1bf645cae1a163ecc032b7785457251f1b044b0376b579d2b8b1b49a389e5ebb
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