Instructions to use dzbao/SKINCON-disease-caption-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dzbao/SKINCON-disease-caption-LoRA 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("dzbao/SKINCON-disease-caption-LoRA") 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:
- 31b3bedd36098dae071b0e33249b5e7cded4b641c5d96eb0c837f7b8f1a377b5
- Size of remote file:
- 409 kB
- SHA256:
- f7652f8cf96662225488f7bf5e8f028d828a986a8f63a961ae732f5b075804c7
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