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
Download checkpoint-20584/scaler.pt from kraina/map_diffusion_lora: direct link, hf CLI and curl.
- Browser
- Download file 557 Bytes
-
https://huggingface.co/kraina/map_diffusion_lora/resolve/main/checkpoint-20584/scaler.pt
- Command line
-
hf download hf://kraina/map_diffusion_lora/checkpoint-20584/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/kraina/map_diffusion_lora/resolve/main/checkpoint-20584/scaler.pt
557 Bytes
- Xet hash:
- 256cb07ee805e192dfc8d36c9f51f6354304b4e94bce70ba52ab97c269bf5fba
- Size of remote file:
- 557 Bytes
- SHA256:
- b98df60b7f0d7e29b1d0429e1a8d6d64bcf9617f19353a3935d5f2521e7b897e
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