Instructions to use Glanty/Capybara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Glanty/Capybara with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Glanty/Capybara", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - 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/blob/main/LICENSE.md) | |
| and acknowledge the [Acceptable Use Policy](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev/blob/main/POLICY.md). | |
| tags: | |
| - image-generation | |
| - flux | |
| - diffusion-single-file | |
|  | |
| FLUX.1 Redux [dev] is an adapter for all FLUX.1 base models for image variation generation. | |
| Given an input image, FLUX.1 Redux can reproduce the image with slight variation, allowing to refine a given image. | |
| It naturally integrates into more complex workflows unlocking image restyling. | |
| Restyling via text is also available through our API by providing an image plus a language prompt. | |
| For more information, please read our [blog post](https://blackforestlabs.ai/flux-1-tools/). | |
| # Usage | |
| We provide a reference implementation of `FLUX.1 Redux [dev]`, as well as sampling code, in a dedicated [github repository](https://github.com/black-forest-labs/flux). | |
| ## API Endpoints | |
| `FLUX.1 Redux [pro]` is available in our API [bfl.ml](https://docs.bfl.ml/). In addition to the `[dev]` adapter, the API endpoint allows users to modify an image given a textual description. | |
| The feature is supported in our latest model FLUX1.1 [pro] Ultra, allowing for combining input images and text prompts to create high-quality 4-megapixel outputs with flexible aspect ratios. | |
|  | |
| ## Diffusers | |
| To use `FLUX.1 Redux [pro]` with the 🧨 diffusers python library, first install or upgrade diffusers | |
| ```shell | |
| pip install -U diffusers | |
| ``` | |
| Then you can use `FluxPriorReduxPipeline` along with `FluxPipeline` to generate images from images. | |
| ```python | |
| import torch | |
| from diffusers import FluxPriorReduxPipeline, FluxPipeline | |
| from diffusers.utils import load_image | |
| pipe_prior_redux = FluxPriorReduxPipeline.from_pretrained("black-forest-labs/FLUX.1-Redux-dev", torch_dtype=torch.bfloat16).to("cuda") | |
| pipe = FluxPipeline.from_pretrained( | |
| "black-forest-labs/FLUX.1-dev" , | |
| text_encoder=None, | |
| text_encoder_2=None, | |
| torch_dtype=torch.bfloat16 | |
| ).to("cuda") | |
| image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/robot.png") | |
| pipe_prior_output = pipe_prior_redux(image) | |
| images = pipe( | |
| guidance_scale=2.5, | |
| num_inference_steps=50, | |
| generator=torch.Generator("cpu").manual_seed(0), | |
| **pipe_prior_output, | |
| ).images | |
| images[0].save("flux-dev-redux.png") | |
| ``` | |
| To learn more check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation | |
| --- | |
| # 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. | |
| - Outputs are heavily influenced by the input image. | |
| # 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). |