Muhammadreza multimodalart HF staff commited on
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Adding `diffusers` weights of this model (#1)

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- Adding `diffusers` weights of this model (5f8dfae75fa3ac145e835f15da810f0ea3743d8c)
- Add diffusers code example (4a8355ea00b060fa7d30c168be9cad92f0dffba2)
- Update README.md (181ca1e70153a47f9b5394e69a838e5920d82993)


Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>

README.md CHANGED
@@ -24,6 +24,30 @@ The model has been mostly developed by Founder and CEO of Mann-E, [Muhammadreza
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  - Scale: 768x768 and 832x832 are just fine. Higher isn't tested. For 16:9 just try 1080x608
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  - Sampler : DPM++ SDE Karras
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  ## Additional Notes
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  - SDXL 1.0 LoRas are working just fine with the model.
 
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  - Scale: 768x768 and 832x832 are just fine. Higher isn't tested. For 16:9 just try 1080x608
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  - Sampler : DPM++ SDE Karras
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+ ## Use it with diffusers
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+
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+ ```py
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+ from diffusers import DiffusionPipeline, DPMSolverSinglestepScheduler
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+ import torch
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+
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+ pipe = DiffusionPipeline.from_pretrained(
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+ "mann-e/Mann-E_Dreams", torch_dtype=torch.float16
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+ ).to("cuda")
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+
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+ #This is equivalent to DPM++ SDE Karras, as noted in https://huggingface.co/docs/diffusers/main/en/api/schedulers/overview
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+ pipe.scheduler = DPMSolverSinglestepScheduler.from_config(pipe.scheduler.config, use_karras_sigmas=True)
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+
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+ image = pipe(
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+ prompt="a cat in a bustling middle eastern city",
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+ num_inference_steps=8,
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+ guidance_scale=3,
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+ width=768,
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+ height=768,
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+ clip_skip=1
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+ ).images[0]
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+ image.save("a_cat.png")
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+ ```
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+
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  ## Additional Notes
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  - SDXL 1.0 LoRas are working just fine with the model.
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+ "vae": [
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+ "AutoencoderKL"
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+ }
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