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-66898/random_states_0.pkl from kraina/map_diffusion_lora: direct link, hf CLI and curl.
- Browser
- Download file 14.7 kB
-
https://huggingface.co/kraina/map_diffusion_lora/resolve/main/checkpoint-66898/random_states_0.pkl
- Command line
-
hf download hf://kraina/map_diffusion_lora/checkpoint-66898/random_states_0.pkl
-
curl -L -o random_states_0.pkl https://huggingface.co/kraina/map_diffusion_lora/resolve/main/checkpoint-66898/random_states_0.pkl
14.7 kB
- Xet hash:
- 422961e75f886e541016ed79ed834c0fc9611f53c444004dbf04ea081c78387b
- Size of remote file:
- 14.7 kB
- SHA256:
- e3e6ec678862cc4a60235761931ac4c19308332097396e0a17d12d6bac72fc9b
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