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--- |
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license: other |
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language: |
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- en |
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base_model: |
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- black-forest-labs/FLUX.1-dev |
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pipeline_tag: text-to-image |
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tags: |
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- diffusers |
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- controlnet |
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- Flux |
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- image-generation |
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--- |
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# Description |
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This repository provides a Diffusers version of FLUX.1-dev Canny ControlNet checkpoint by Xlabs AI, [original repo](https://huggingface.co/XLabs-AI/flux-controlnet-canny-v3). |
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 |
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# How to use |
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This model can be used directly with the diffusers library |
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``` |
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import torch |
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from diffusers.utils import load_image |
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from diffusers import FluxControlNetModel |
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from diffusers.pipelines import FluxControlNetPipeline |
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from PIL import Image |
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import numpy as np |
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generator = torch.Generator(device="cuda").manual_seed(87544357) |
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controlnet = FluxControlNetModel.from_pretrained( |
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"Xlabs-AI/flux-controlnet-canny-diffusers", |
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torch_dtype=torch.bfloat16, |
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use_safetensors=True, |
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) |
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pipe = FluxControlNetPipeline.from_pretrained( |
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"black-forest-labs/FLUX.1-dev", |
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controlnet=controlnet, |
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torch_dtype=torch.bfloat16 |
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) |
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pipe.to("cuda") |
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control_image = load_image("https://huggingface.co/Xlabs-AI/flux-controlnet-canny-diffusers/resolve/main/canny_example.png") |
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prompt = "handsome girl with rainbow hair, anime" |
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image = pipe( |
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prompt, |
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control_image=control_image, |
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controlnet_conditioning_scale=0.7, |
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num_inference_steps=25, |
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guidance_scale=3.5, |
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height=1024, |
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width=768, |
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generator=generator, |
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num_images_per_prompt=1, |
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).images[0] |
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image.save("output_test_controlnet.png") |
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``` |
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## License |
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Our weights fall under the [FLUX.1 [dev]](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) Non-Commercial License<br/> |
