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("l3xx/sp0ngeb0zz")
prompt = "SP0NG3B0ZZ on a boat in the ocean --d 42"
image = pipe(prompt).images[0]SP0NGEB0ZZ
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- SP0NG3B0ZZ on a boat in the ocean --d 42
- Prompt
- SP0NG3B0ZZ standing next to a police car on a road surrounded by Cats --d 42
- Prompt
- SP0NG3B0ZZ holding a sign saying "SPONGEBOZZ" --d 42
Trigger words
You should use SP0NG3B0ZZ 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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Base model
black-forest-labs/FLUX.1-dev