Text-to-Image
Diffusers
English
Text-to-Image
IP-Adapter
Flux.1-dev
image-generation
Stable Diffusion
Instructions to use InstantX/FLUX.1-dev-IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/FLUX.1-dev-IP-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/FLUX.1-dev-IP-Adapter", 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
- Draw Things
- DiffusionBee
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@@ -99,6 +99,9 @@ Please refer to [ComfyUI-IPAdapter-Flux](https://github.com/Shakker-Labs/ComfyUI
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<img src="https://github.com/Shakker-Labs/ComfyUI-IPAdapter-Flux/raw/main/workflows/ipadapter_example.png" width="1024"/>
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# Limitations
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This model supports image reference, but is not for fine-grained style transfer or character consistency, which means that there exists a trade-off between content leakage and style transfer. We don't find similar properties in FLUX.1-dev (DiT-based) as in [InstantStyle](https://instantstyle.github.io/) (UNet-based). It may take several attempts to get satisfied results. Furthermore, current released model may suffer from limited diversity, thus cannot cover some styles or concepts,
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<img src="https://github.com/Shakker-Labs/ComfyUI-IPAdapter-Flux/raw/main/workflows/ipadapter_example.png" width="1024"/>
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</div>
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# Online Inference
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You can also enjoy this model at [Shakker AI](https://www.shakker.ai/aigenerator?controlnet=ip_adapter).
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# Limitations
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This model supports image reference, but is not for fine-grained style transfer or character consistency, which means that there exists a trade-off between content leakage and style transfer. We don't find similar properties in FLUX.1-dev (DiT-based) as in [InstantStyle](https://instantstyle.github.io/) (UNet-based). It may take several attempts to get satisfied results. Furthermore, current released model may suffer from limited diversity, thus cannot cover some styles or concepts,
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