Instructions to use kraina/map_diffusion_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kraina/map_diffusion_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("kraina/map_diffusion_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:
- 92fc43eda8e70caa8018e701fa6f8d1a9dd32c136273694cc6b2247f9cb31567
- Size of remote file:
- 3.29 MB
- SHA256:
- 7fad054c3bcc4d08ba7e28ae197549c8c90a99dcd404ebb26b73733c8ecefc0d
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