Instructions to use rando2625/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rando2625/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rando2625/model") prompt = "a photo of sks megumi" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from rando2625/model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/rando2625/model/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://rando2625/model/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/rando2625/model/resolve/main/checkpoint-500/optimizer.bin
6.59 MB
- Xet hash:
- 1e4dd8951e023d86526cf669f033ee893e1ccead3eb6ff955af33ed76a759265
- Size of remote file:
- 6.59 MB
- SHA256:
- f7442ed941a57daaa4ba78ad1ed606d1530abb6fb4c0035352eda70dd31c9c63
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