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("exploer/tomasbilybezpozadi02")
prompt = "tomasbilly is wearing glasses and a nike t-shirt and blue jeans. stands in beautiful nature."
image = pipe(prompt).images[0]TomasBilyBezPozadi02
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- tomasbilly is wearing glasses and a nike t-shirt and blue jeans. stands in beautiful nature.
- Prompt
- tomasbilly is wearing glasses and an adidas t-shirt and blue jeans. standing by the river.
- Prompt
- tomasbily is wearing glasses and a marvel t-shirt and blue jeans. standing .in the park
Trigger words
You should use tomasbily 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 exploer/tomasbilybezpozadi02
Base model
black-forest-labs/FLUX.1-dev