Instructions to use nakkati/rank_exp_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nakkati/rank_exp_8 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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nakkati/rank_exp_8") prompt = "photo of Luffy, the pirate with a straw hat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-4500/optimizer.bin from nakkati/rank_exp_8: direct link, hf CLI and curl.
- Browser
- Download file 13.5 MB
-
https://huggingface.co/nakkati/rank_exp_8/resolve/main/checkpoint-4500/optimizer.bin
- Command line
-
hf download hf://nakkati/rank_exp_8/checkpoint-4500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/nakkati/rank_exp_8/resolve/main/checkpoint-4500/optimizer.bin
13.5 MB
- Xet hash:
- d2e4b96e658dff97f472002f51e82c20421262e15d8f31d656a3b1aba5fbfb84
- Size of remote file:
- 13.5 MB
- SHA256:
- 27a696778155df71a715fd89362b3ebec69c12a402b85163c5ede19fd3e84f7a
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