import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("serbdev/test-5")
prompt = "1lustrat10n a man and woman sitting at a table with a laptop and a cup of coffee. --d 42"
image = pipe(prompt).images[0]
- Prompt
- 1lustrat10n a man and woman sitting at a table with a laptop and a cup of coffee. --d 42
- Prompt
- 1lustrat10n a man and woman walking their dog in the city. --d 42
Trigger words
You should use 1lustrat10n 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 serbdev/test-5
Base model
black-forest-labs/FLUX.1-schnell