Instructions to use glif-loradex-trainer/quitters_FoundFootage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/quitters_FoundFootage 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/quitters_FoundFootage") prompt = "wounded centaur, mythical creature FFF" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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/quitters_FoundFootage")
prompt = "wounded centaur, mythical creature FFF"
image = pipe(prompt).images[0]FoundFootage
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user quitters.

- Prompt
- wounded centaur, mythical creature FFF

- Prompt
- ruins of athens, snake FFF

- Prompt
- silver vampire sword FFF
Trigger words
You should use FFF 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.
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Model tree for glif-loradex-trainer/quitters_FoundFootage
Base model
black-forest-labs/FLUX.1-dev