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("safeerlibya/psktc")
prompt = "watching the wall"
image = pipe(prompt).images[0]psktc
- Prompt
- watching the wall
Model description
psktc
Trigger words
You should use ammarc to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
black-forest-labs/FLUX.1-dev