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/fodg")
prompt = "fodg packaging bag of Flexadin sitting on a tablt --d 45"
image = pipe(prompt).images[0]fodg
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- fodg packaging bag of Flexadin sitting on a tablt --d 45
- Prompt
- fodg packaging bag of Flexadin sitting next to a mountain dog --d 45
Trigger words
You should use fodg 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/fodg
Base model
black-forest-labs/FLUX.1-dev