Instructions to use funseshon/ridi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use funseshon/ridi 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/ridi") prompt = "A futuristic cyberpunk city street drenched in neon rain, featuring a sleek RIDI chrome robot meditating on a floating platform." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from funseshon/ridi: direct link, hf CLI and curl.
- Browser
- Download file 195 MB
-
https://huggingface.co/funseshon/ridi/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://funseshon/ridi/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/funseshon/ridi/resolve/main/checkpoint-500/optimizer.bin
195 MB
- Xet hash:
- 6fa3ad0e54ee00ad04c93b4b965a6151daa9c5b51ef55f892396093e20921216
- Size of remote file:
- 195 MB
- SHA256:
- 73e99b40b81bf2c766cdae9713ef2171b9b47a4a715a0ef03542479480fcddc4
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