Instructions to use HelloTestUser/FLUX.1-Depth-dev-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use HelloTestUser/FLUX.1-Depth-dev-lora with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| language: | |
| - en | |
| license: other | |
| license_name: flux-1-dev-non-commercial-license | |
| license_link: LICENSE.md | |
| extra_gated_prompt: By clicking "Agree", you agree to the [FluxDev Non-Commercial License Agreement](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev-lora/blob/main/LICENSE.md) | |
| and acknowledge the [Acceptable Use Policy](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev-lora/blob/main/POLICY.md). | |
| tags: | |
| - image-generation | |
| - flux | |
| - diffusion-single-file | |
|  | |
| `FLUX.1 Depth [dev] LoRA` is a LoRA extracted from [FLUX.1 Depth [dev]](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev), a 12 billion parameter rectified flow transformer capable of generating an image based on a text description while following the structure of a given input image. | |
| For more information, please read our [blog post](https://blackforestlabs.ai/flux-1-tools/). | |
| The LoRA is applicable to [FLUX.1 [dev]](https://huggingface.co/black-forest-labs/FLUX.1-dev). | |
| # Key Features | |
| 1. Cutting-edge output quality. | |
| 2. It blends impressive prompt adherence with maintaining the structure of source images based on depth maps. | |
| 3. Trained using guidance distillation, making `FLUX.1 Depth [dev] LoRA` more efficient. | |
| 4. Open weights to drive new scientific research, and empower artists to develop innovative workflows. | |
| 5. Generated outputs can be used for personal, scientific, and commercial purposes as described in the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). | |
| # Usage | |
| We provide a reference implementation of `FLUX.1 Depth [dev]`, as well as sampling code, in a dedicated [github repository](https://github.com/black-forest-labs/flux). | |
| Developers and creatives looking to build on top of `FLUX.1 Depth [dev]` are encouraged to use this as a starting point. | |
| ## API Endpoints | |
| `FLUX.1 Depth [pro]` is available in our API [bfl.ml](https://docs.bfl.ml/) | |
| ## Diffusers | |
| To use FLUX.1-Depth-dev-lora with the 🧨 diffusers python library, first install or upgrade `diffusers`, `peft`, and `image_gen_aux`. | |
| ```bash | |
| pip install -U git+https://github.com/huggingface/diffusers | |
| pip install git+https://github.com/asomoza/image_gen_aux.git | |
| pip install -U peft | |
| ``` | |
| Then you can use the `FluxControlPipeline` to run it: | |
| ```py | |
| import torch | |
| from diffusers import FluxControlPipeline, FluxTransformer2DModel | |
| from diffusers.utils import load_image | |
| from image_gen_aux import DepthPreprocessor | |
| pipe = FluxControlPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to("cuda") | |
| pipe.load_lora_weights("black-forest-labs/FLUX.1-Depth-dev-lora", adapter_name="depth") | |
| pipe.set_adapters("depth", 0.85) | |
| prompt = "A robot made of exotic candies and chocolates of different kinds. The background is filled with confetti and celebratory gifts." | |
| control_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/robot.png") | |
| processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf") | |
| control_image = processor(control_image)[0].convert("RGB") | |
| image = pipe( | |
| prompt=prompt, | |
| control_image=control_image, | |
| height=1024, | |
| width=1024, | |
| num_inference_steps=30, | |
| guidance_scale=10.0, | |
| generator=torch.Generator().manual_seed(42), | |
| ).images[0] | |
| image.save("output.png") | |
| ``` | |
| To learn more, check out the [diffusers documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux). | |
| --- | |
| # Limitations | |
| - This model is not intended or able to provide factual information. | |
| - As a statistical model this checkpoint might amplify existing societal biases. | |
| - The model may fail to generate output that matches the prompts. | |
| - Prompt following is heavily influenced by the prompting-style. | |
| # Out-of-Scope Use | |
| The model and its derivatives may not be used | |
| - In any way that violates any applicable national, federal, state, local or international law or regulation. | |
| - For the purpose of exploiting, harming or attempting to exploit or harm minors in any way; including but not limited to the solicitation, creation, acquisition, or dissemination of child exploitative content. | |
| - To generate or disseminate verifiably false information and/or content with the purpose of harming others. | |
| - To generate or disseminate personal identifiable information that can be used to harm an individual. | |
| - To harass, abuse, threaten, stalk, or bully individuals or groups of individuals. | |
| - To create non-consensual nudity or illegal pornographic content. | |
| - For fully automated decision making that adversely impacts an individual's legal rights or otherwise creates or modifies a binding, enforceable obligation. | |
| - Generating or facilitating large-scale disinformation campaigns. | |
| # License | |
| This model falls under the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev/blob/main/LICENSE.md). |