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/becc")
prompt = "BECC box of beco product placed on a table --d 45"
image = pipe(prompt).images[0]BECC
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- BECC box of beco product placed on a table --d 45
- Prompt
- BECC box of beco placed next to a Bernese mountain dog --d 45
Trigger words
You should use BECC 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/becc
Base model
black-forest-labs/FLUX.1-dev