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("Synetecs/sketchy")
prompt = "A guy sitting on a bench , GETSKETCHY --s 28"
image = pipe(prompt).images[0]sketchy
A Flux LoRA
- Prompt
- A guy sitting on a bench , GETSKETCHY --s 28
- Prompt
- A boy running , GETSKETCHY --s 28
- Prompt
- A sunrise with birds on the horizon , GETSKETCHY --s 28
Trigger words
You should use GETSKETCHY 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