Instructions to use Muapi/doctor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/doctor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/doctor") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- e2e3da245e7397c2636e2ccbbb65ccd08bfbd23c13e754dc73a9f013151d7a2c
- Size of remote file:
- 165 kB
- SHA256:
- c0b21c7016934920df50937eed94e35dda1112c02b7c19f1d295ff1edf5b6329
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