Instructions to use izangalefacephi/std3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use izangalefacephi/std3 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-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("izangalefacephi/std3") prompt = "A ID card ICAO photo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from izangalefacephi/std3: direct link, hf CLI and curl.
- Browser
- Download file 5.19 MB
-
https://huggingface.co/izangalefacephi/std3/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://izangalefacephi/std3/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/izangalefacephi/std3/resolve/main/checkpoint-2000/optimizer.bin
5.19 MB
- Xet hash:
- b16172e9c000d64bfaab2be0b9879020c396ee186fdc8703fb64bd97eb5a075f
- Size of remote file:
- 5.19 MB
- SHA256:
- d5a19741f9c69f0956f4608f7a789e7da8bdd00be1bf5294ae8d4d154cb11d0a
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