Instructions to use ivanmayombo/FameGridSpiceV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ivanmayombo/FameGridSpiceV3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ivanmayombo/FameGridSpiceV3") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
FameGrid Spice V3 - Realistic Skin LoRA
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- Prompt
- -
Model description
FameGrid Spice V2 - LoRA originally created by UltraMuse on CivitAI Original link: https://civitai.com/models/2088956 License: Apache 2.0 Uploaded to HuggingFace for personal use with Wan2GP
Features:
- Enhanced skin quality with realistic texture
- Improved NSFW capabilities
- Better poses and natural body language
- Wider ethnic representation
- Reduced image artifacts
Trigger words
You should use igmodel to trigger the image generation.
You should use rlskn to trigger the image generation.
You should use AIR to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for ivanmayombo/FameGridSpiceV3
Base model
Tongyi-MAI/Z-Image-Turbo