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/flisps")
prompt = "flisps on a glass box --d 45"
image = pipe(prompt).images[0]flisps
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- flisps on a glass box --d 45
- Prompt
- flisps on a display shop -- 45
- Prompt
- flisps on a woman feet --d 45
Trigger words
You should use flisps 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/flisps
Base model
black-forest-labs/FLUX.1-dev