Instructions to use Sagardai/foxasd123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sagardai/foxasd123 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("Sagardai/foxasd123") prompt = "foxasd123 a red fox playing football -d4543" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
foxasd123
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- foxasd123 a red fox playing football -d4543

- Prompt
- foxasd123 a red fox eating pizza -d4543

- Prompt
- foxasd123 a red fox doing workout -d4543

- Prompt
- foxasd123 a red fox watching television -d4543
Trigger words
You should use foxasd123 to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for Sagardai/foxasd123
Base model
black-forest-labs/FLUX.1-dev