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@@ -29,55 +29,6 @@ You can use Shuttle 3 Diffusion via API through ShuttleAI
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  - [ShuttleAI](https://shuttleai.com/)
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  - [ShuttleAI Docs](https://docs.shuttleai.com/)
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- ## Using the model with 🧨 Diffusers
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- Install or upgrade diffusers
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- ```shell
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- pip install -U diffusers
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- ```
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- Then you can use `DiffusionPipeline` to run the model
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- ```python
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- import torch
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- from diffusers import DiffusionPipeline
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-
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- # Load the diffusion pipeline from a pretrained model, using bfloat16 for tensor types.
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- pipe = DiffusionPipeline.from_pretrained(
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- "shuttleai/shuttle-3-diffusion", torch_dtype=torch.bfloat16
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- ).to("cuda")
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-
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- # Uncomment the following line to save VRAM by offloading the model to CPU if needed.
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- # pipe.enable_model_cpu_offload()
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-
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- # Uncomment the lines below to enable torch.compile for potential performance boosts on compatible GPUs.
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- # Note that this can increase loading times considerably.
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- # pipe.transformer.to(memory_format=torch.channels_last)
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- # pipe.transformer = torch.compile(
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- # pipe.transformer, mode="max-autotune", fullgraph=True
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- # )
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-
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- # Set your prompt for image generation.
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- prompt = "A cat holding a sign that says hello world"
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-
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- # Generate the image using the diffusion pipeline.
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- image = pipe(
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- prompt,
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- height=1024,
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- width=1024,
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- guidance_scale=3.5,
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- num_inference_steps=4,
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- max_sequence_length=256,
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- # Uncomment the line below to use a manual seed for reproducible results.
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- # generator=torch.Generator("cpu").manual_seed(0)
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- ).images[0]
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-
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- # Save the generated image.
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- image.save("shuttle.png")
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- ```
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- To learn more check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation
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-
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- ## Using the model with ComfyUI
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-
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- To run local inference with Shuttle 3 Diffusion using [ComfyUI](https://github.com/comfyanonymous/ComfyUI), you can use this [safetensors file](https://huggingface.co/shuttleai/shuttle-3-diffusion/blob/main/shuttle-3-diffusion.safetensors).
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-
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  ## Comparison to other models
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  Shuttle 3 Diffusion can produce images better images than Flux Dev in just four steps, while being licensed under Apache 2.
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  ![image/png](https://huggingface.co/shuttleai/shuttle-3-diffusion/resolve/main/comparison.png)
 
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  - [ShuttleAI](https://shuttleai.com/)
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  - [ShuttleAI Docs](https://docs.shuttleai.com/)
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  ## Comparison to other models
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  Shuttle 3 Diffusion can produce images better images than Flux Dev in just four steps, while being licensed under Apache 2.
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  ![image/png](https://huggingface.co/shuttleai/shuttle-3-diffusion/resolve/main/comparison.png)