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README.md
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image
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```
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Feel free to edit the image's configuration with your desire.
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image
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```
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Feel free to edit the image's configuration with your desire.
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### Scheduler's Customization ⚙️
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#### (for Diffusers)
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You can see all available schedulers [here](https://huggingface.co/docs/diffusers/v0.11.0/en/api/schedulers/overview).
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To use scheduler other than DPM++ 2M Karras for this repo, make sure to import the
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corresponding pipeline for the scheduler you want to use. For example, we want to use Euler. First, import [EulerDiscreteScheduler](https://huggingface.co/docs/diffusers/v0.29.2/en/api/schedulers/euler#diffusers.EulerDiscreteScheduler) from Diffusers by adding this line of code.
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```py
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from diffusers import StableDiffusionXLPipeline, EulerDiscreteScheduler
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```
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Next step is to load the scheduler.
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```py
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model = "IDK-ab0ut/Yiffymix_v51"
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euler = EulerDiscreteScheduler.from_pretrained(
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model, subfolder="scheduler")
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pipeline = StableDiffusionXLPipeline.from_pretrained(
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model, scheduler=euler, torch.dtype=torch.float16
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).to("cuda")
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```
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Now you can generate any images using the scheduler you want.
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Another example is using DPM++ 2M SDE Karras. We want to import [DPMSolverMultistepScheduler](https://huggingface.co/docs/diffusers/v0.29.2/api/schedulers/multistep_dpm_solver) from Diffusers first.
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```py
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from diffusers import StableDiffusionXLPipeline, DPMSolverMultistepScheduler
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```
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Next, load the scheduler into the model.
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```py
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model = "IDK-ab0ut/Yiffymix_v51"
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dpmsolver = DPMSolverMultistepScheduler.from_pretrained(
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model, subfolder="scheduler", use_karras_sigmas=True,
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algorithm_type="sde-dpmsolver++").to("cuda")
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# 'use_karras_sigmas' is called to make the scheduler
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# use Karras sigmas during sampling.
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pipeline = StableDiffusionXLPipeline.from_pretrained(
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model, scheduler=dpmsolver, torch.dtype=torch.float16,
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).to("cuda")
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```
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