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("VitoCorleone72/pk")
prompt = "-"
image = pipe(prompt).images[0]pk
- Prompt
- -
Trigger words
You should use pk to trigger the image generation.
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("John6666/big-lust-v1-sdxl")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0]
from huggingface_hub import InferenceClient client = InferenceClient("John6666/big-lust-v16-sdxl", token="hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")
output is a PIL.Image object
image = client.text_to_image("Astronaut riding a horse")
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Download them in the Files & versions tab.
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black-forest-labs/FLUX.1-dev