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Update README.md

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@@ -38,19 +38,6 @@ Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL mo
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  - **CFG Scale**: 2.5-3.5
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  - **Sampler**: DPM++ SDE
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- ### Diffusers usage
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-
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- ```bash
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- pip install torch diffusers
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- ```
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-
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- ```py
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- import torch
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- from diffusers import StableDiffusionXLPipeline, DPMSolverSinglestepScheduler
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- # Load model.
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- pipe = StableDiffusionXLPipeline.from_pretrained("sd-community/sdxl-flash-mini", torch_dtype=torch.float16, variant="fp16").to("cuda")
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- # Ensure sampler uses "trailing" timesteps.
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- pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
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- # Image generation.
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- pipe("a happy dog, sunny day, realism", num_inference_steps=7, guidance_scale=3).images[0].save("output.png")
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- ```
 
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  - **CFG Scale**: 2.5-3.5
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  - **Sampler**: DPM++ SDE
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+ ### Usage
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+
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+ We can use this model only in Auto111 or ComfyUI or Fooocus.