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README.md
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---
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license: creativeml-openrail-m
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---
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license: creativeml-openrail-m
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base_model: ptx0/pixart-900m-1024-ft-large
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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- full
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- pixart
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- pixart sigma
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inference: true
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## Inference
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### ComfyUI
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- Download model file `transformer/diffusion_pytorch_model.safetensors` and put into `ComfyUI/models/checkpoints`
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- Use ExtraModels node: https://github.com/city96/ComfyUI_ExtraModels?tab=readme-ov-file#pixart
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```python
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import torch
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from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler
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from diffusers.models import PixArtTransformer2DModel
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model_id = "anyMODE/realMODE_900M"
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negative_prompt = "malformed, disgusting, overexposed, washed-out"
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pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipeline.transformer = PixArtTransformer2DModel.from_pretrained(model_id, subfolder="transformer", torch_dtype=torch.float16)
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pipeline.scheduler = EulerAncestralDiscreteScheduler.from_config(pipeline.scheduler.config)
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pipeline.to('cuda' if torch.cuda.is_available() else 'cpu')
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prompt = "On the left, there is a red cube. On the right, there is a blue sphere. On top of the red cube is a dog. On top of the blue sphere is a cat"
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image = pipeline(
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prompt=prompt,
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negative_prompt='blurry, cropped, ugly',
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num_inference_steps=30,
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generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
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width=1024,
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height=1024,
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guidance_scale=5.5,
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).images[0]
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image.save("output.png", format="JPEG")
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```
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