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("Grohv/randart2_lora")
prompt = "A portrait of a beautiful woman in the style of randart2_lora"
image = pipe(prompt).images[0]randart2_lora
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- A portrait of a beautiful woman in the style of randart2_lora
Trigger words
You should use randart2_lora, in the stye of randart2_lora 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