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("VHKE/sprbtc")
prompt = "SPRBTC mega sport biotic bottle on a night stand --d 45"
image = pipe(prompt).images[0]SPRBTC
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- SPRBTC mega sport biotic bottle on a night stand --d 45
- Prompt
- SPRBTC mega sport biotic bottle placed on a table --d 45
Trigger words
You should use SPRBTC 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 VHKE/sprbtc
Base model
black-forest-labs/FLUX.1-dev