Instructions to use funseshon/fidri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/fidri with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("funseshon/fidri") prompt = "A futuristic cyberpunk city street drenched in neon rain, where a floating FIDRI robot serves glowing cocktails to holographic patrons." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from funseshon/fidri: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/funseshon/fidri/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://funseshon/fidri/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/funseshon/fidri/resolve/main/checkpoint-500/optimizer.bin
195 MB
- Xet hash:
- 07e35558cde78962990adb7a0686bc7ceba13d1425c3878d9da8463614e42c2c
- Size of remote file:
- 195 MB
- SHA256:
- 0825126aa11fab60e8b30ca71efc990920a18d3a47da29bf0f956f6b0f8b4032
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.