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rolf2025-10 to trigger the image generation.1import replicate
2
3input = {
4 "prompt": "rolf2025-10",
5 "lora_weights": "https://huggingface.co/RolfScheidegger/flux_rolf2025-10-cut-manualcaption/resolve/main/lora.safetensors"
6}
7
8output = replicate.run(
9 "black-forest-labs/flux-dev-lora",
10 input=input
11)
12for index, item in enumerate(output):
13 with open(f"output_{index}.webp", "wb") as file:
14 file.write(item.read())1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
5pipeline.load_lora_weights('RolfScheidegger/flux_rolf2025-10-cut-manualcaption', weight_name='lora.safetensors')
6image = pipeline('rolf2025-10').images[0]