Instructions to use Niguel/Robot-X5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Niguel/Robot-X5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kanellospan14/RVC_Models", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Niguel/Robot-X5") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
X-5 Robot

- Prompt
- -
Model description
Sparky AI Voice Model By Pierce Longamore From Weights.GG AI
Trigger words
You should use loRa to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Niguel/Robot-X5
Base model
h94/IP-Adapter-FaceID Adapter
coversia21/RVC_JonahJameson Adapter
kanellospan14/RVC_Models