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("mr-Dan/t-o-m")
prompt = "t-o-m"
image = pipe(prompt).images[0]t-o-m
A Flux LoRA trained on a local computer with Fluxgym
Trigger words
You should use t-o-m 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