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/intgra")
prompt = "INTGRA on a stand --d 45"
image = pipe(prompt).images[0]INTGRA
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- INTGRA on a stand --d 45
- Prompt
- INTGRA on a table --d 45
Trigger words
You should use INTGRA 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/intgra
Base model
black-forest-labs/FLUX.1-dev