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-1000/optimizer.bin from funseshon/fidri: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/funseshon/fidri/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://funseshon/fidri/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/funseshon/fidri/resolve/main/checkpoint-1000/optimizer.bin
195 MB
- Xet hash:
- c3adfe5d486d1bc0f4e2f8e9a3d4bdb2def9529a50c4913e20e95b18fcaa6c8f
- Size of remote file:
- 195 MB
- SHA256:
- 718c725479f91e715872d48c4e1cdc0043fd3ff33ebac761109f9ebb829fe230
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