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-72044/optimizer.bin from kraina/map_diffusion_lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/kraina/map_diffusion_lora/resolve/main/checkpoint-72044/optimizer.bin
- Command line
-
hf download hf://kraina/map_diffusion_lora/checkpoint-72044/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/kraina/map_diffusion_lora/resolve/main/checkpoint-72044/optimizer.bin
6.59 MB
- Xet hash:
- c7cdd46a3b236e46a4e904b380d93858d2fd27bb902ece9d29799445e2a4bffd
- Size of remote file:
- 6.59 MB
- SHA256:
- 3b970c4f414caae788dde4a52d87af6f452a88098c330dd75031b616ab1dd1e1
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