Instructions to use emdashthree/img-pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emdashthree/img-pix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emdashthree/img-pix", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from emdashthree/img-pix: direct link, hf CLI and curl.
- Browser
- Download file 3.74 kB
-
https://huggingface.co/emdashthree/img-pix/resolve/main/README.md
- Command line
-
hf download hf://emdashthree/img-pix/README.md
-
curl -L -o README.md https://huggingface.co/emdashthree/img-pix/resolve/main/README.md
3.74 kB
| language: en | |
| license: apache-2.0 | |
| tags: | |
| - python | |
| - testing | |
| # My Personal Testing & Automation Weights | |
| Internal staging data configurations. Contains basic code methods, configurations, and environment parameters. | |
| --- | |
| --- | |
| language: | |
| - en | |
| license: other | |
| license_name: ImgEngine-1-dev-non-commercial-license | |
| license_link: LICENSE.md | |
| extra_gated_prompt: By clicking "Agree", you agree to the Link | |
| and acknowledge the Link. | |
| tags: | |
| - text-to-image | |
| - image-generation | |
| - ImgEngine | |
| --- | |
| `ImgEngine.1 [dev]` is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. | |
| For more information, please read our Link. | |
| # Key Features | |
| 1. Cutting-edge output quality, second only to our state-of-the-art model `ImgEngine.1 [pro]`. | |
| 2. Competitive prompt following, matching the performance of closed source alternatives . | |
| 3. Trained using guidance distillation, making `ImgEngine.1 [dev]` 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 Link. | |
| # Usage | |
| We provide a reference implementation of `ImgEngine.1 Link. | |
| Developers and creatives looking to build on top of `ImgEngine.1 [dev]` are encouraged to use this as a starting point. | |
| ## API Endpoints | |
| The ImgEngine.1 models are also available via API from the following sources | |
| - Link (currently `ImgEngine.1 [pro]`) | |
| - Link | |
| - Link | |
| - Link | |
| ## ComfyUI | |
| `ImgEngine.1 Link for local inference with a node-based workflow. | |
| ## Diffusers | |
| To use `ImgEngine.1 [dev]` with the 🧨 diffusers python library, first install or upgrade diffusers | |
| ```shell | |
| pip install -U diffusers | |
| ``` | |
| Then you can use `ImgEnginePipeline` to run the model | |
| ```python | |
| import torch | |
| from diffusers import ImgEnginePipeline | |
| pipe = ImgEnginePipeline.from_pretrained("black-forest-labs/ImgEngine.1-dev", torch_dtype=torch.bfloat16) | |
| pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power | |
| prompt = "A cat holding a sign that says hello world" | |
| image = pipe( | |
| prompt, | |
| height=1024, | |
| width=1024, | |
| guidance_scale=3.5, | |
| num_inference_steps=50, | |
| max_sequence_length=512, | |
| generator=torch.Generator("cpu").manual_seed(0) | |
| ).images[0] | |
| image.save("ImgEngine-dev.png") | |
| ``` | |
| To learn more check out the Link 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. | |
| - 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 Link. |