Instructions to use CreasyChad/basedchadlora1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CreasyChad/basedchadlora1 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("CreasyChad/basedchadlora1") prompt = "ba53d playing guitar --d 99" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
basedchadLora1
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- ba53d playing guitar --d 99

- Prompt
- ba53d as a firefighter --d 99

- Prompt
- ba53d as president --d 99

- Prompt
- ba53d as a samurai --d 99
Trigger words
You should use ba53d 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 CreasyChad/basedchadlora1
Base model
black-forest-labs/FLUX.1-dev