import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Taklacii/hds")
prompt = "a"
image = pipe(prompt).images[0]s
- Prompt
- a
- Negative Prompt
- a
Model description
s
Trigger words
You should use s to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 3
Model tree for Taklacii/hds
Base model
black-forest-labs/FLUX.1-dev