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("boring-dragon/sref-1521522625")
prompt = "High quality portrait of a frustrated man , sref_1521522625"
image = pipe(prompt).images[0]sref-1521522625
A Flux LoRA
- Prompt
- High quality portrait of a frustrated man , sref_1521522625
- Prompt
- A windy calm night at a forrest , sref_1521522625
- Prompt
- A traditional women walking on the street , sref_1521522625
- Prompt
- A man staring at a nuclear explosion , sref_1521522625
- Prompt
- High quality portrait of an insane scientist , sref_1521522625
Trigger words
You should use sref_1521522625 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 boring-dragon/sref-1521522625
Base model
black-forest-labs/FLUX.1-dev