Instructions to use glif-loradex-trainer/ampp_Mixed_Partial_Arts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/ampp_Mixed_Partial_Arts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("glif-loradex-trainer/ampp_Mixed_Partial_Arts") prompt = "wounded centaur, mythical creature in the middle of a new york street cungF00" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Mixed_Partial_Arts
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user ampp.

- Prompt
- wounded centaur, mythical creature in the middle of a new york street cungF00

- Prompt
- a school portrait of shrek wearing a tophat and ornate jewlery cungF00

- Prompt
- a spooky scene involving a warewolf and a ghost cungF00

- Prompt
- cungF00 A detailed portrait of a woman holding a baby dragon

- Prompt
- cungF00 A scene from an action movie starring kittens with assault rifles and skirts

- Prompt
- cungF00 3 dudes and a goat sitting at a bar with bottles of milk in front of them
Trigger words
You should use cungF00 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
- Downloads last month
- 4
Model tree for glif-loradex-trainer/ampp_Mixed_Partial_Arts
Base model
black-forest-labs/FLUX.1-dev