| | --- |
| | license: other |
| | license_name: flux-1-dev-non-commercial-license |
| | license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md |
| | tags: |
| | - Text-to-Image |
| | - ControlNet |
| | - Diffusers |
| | - Stable Diffusion |
| | base_model: black-forest-labs/FLUX.1-dev |
| | --- |
| | # FLUX.1-dev Controlnet |
| |
|
| | <img src="./images/image_union.jpg" width = "800" /> |
| |
|
| |
|
| | ## Diffusers version |
| |
|
| | until the next Diffusers pypi release, please install Diffusers from source and use [this PR](xxxxxx) to be able to use. |
| | TODO: change when new version. |
| |
|
| | ## Checkpoint |
| |
|
| | The training of union controlnet requires a significant amount of computational power. |
| | The current release is only an alpha version checkpoint that has not been fully trained. |
| | The beta version is in the training process. |
| | We have conducted ablation studies that have demonstrated the validity of the code. |
| | The open-source release of the alpha version is solely to facilitate the rapid growth of the open-source community and the Flux ecosystem; |
| | it is common to encounter bad cases (please accept my apologies). |
| | It is worth noting that we have found that even a fully trained Union model may not perform as well as specialized models, such as pose control. |
| | However, as training progresses, the performance of the Union model will continue to approach that of specialized models. |
| |
|
| |
|
| | ## Control Mode |
| |
|
| | | Control Mode | Description | Current Model Validity | |
| | |:------------:|:-----------:|:-----------:| |
| | |0|canny|🟢high| |
| | |1|tile|🟢high| |
| | |2|depth|🟡medium| |
| | |3|blur|🟢high| |
| | |4|pose|🔴low| |
| | |5|gray|🔴low| |
| | |6|lq|🟢high| |
| |
|
| |
|
| |
|
| |
|
| | # Demo |
| | ```python |
| | import torch |
| | from diffusers.utils import load_image |
| | from diffusers.pipelines.flux.pipeline_flux_controlnet import FluxControlNetPipeline |
| | from diffusers.models.controlnet_flux import FluxControlNetModel |
| | |
| | # load |
| | base_model = 'black-forest-labs/FLUX.1-dev' |
| | controlnet_model = 'InstantX/FLUX.1-dev-Controlnet-Union-alpha' |
| | controlnet = FluxControlNetModel.from_pretrained(controlnet_model, torch_dtype=torch.bfloat16) |
| | pipe = FluxControlNetPipeline.from_pretrained(base_model, controlnet=controlnet, torch_dtype=torch.bfloat16) |
| | pipe.to("cuda") |
| | |
| | # image cfg |
| | width, height = 1024, 1024 |
| | controlnet_conditioning_scale = 0.6 |
| | seed = 2024 |
| | |
| | # canny |
| | control_image = load_image("https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Union-alpha/resolve/main/images/canny.jpg") |
| | prompt = "A girl in city, 25 years old, cool, futuristic." |
| | control_mode = 0 |
| | image = pipe( |
| | prompt, |
| | control_image=control_image, |
| | control_mode=control_mode, |
| | controlnet_conditioning_scale=controlnet_conditioning_scale, |
| | num_inference_steps=28, |
| | guidance_scale=3.5, |
| | ).images[0] |
| | image.save("image.jpg") |
| | ``` |
| |
|
