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--- |
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license: cc0-1.0 |
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language: |
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- en |
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--- |
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# Generalis V1.1 |
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<hr> |
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### Second attempt at merging several models v1.5 into one general purpose model. |
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Focus has been put into simple prompts, good one-off generation, slightly muted colours, low memory usage, small model size. |
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It is intended as easy model for use in larger projects where image generation is needed. |
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Published under CC0 |
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<hr> |
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Use example: |
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```python |
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import torch # Tested with 2.0.1+cu118 |
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from diffusers import StableDiffusionPipeline # <3 |
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# Model location in HF |
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model = "https://huggingface.co/vluz/Generalis_V1.1/blob/main/Generalis_v1-1.safetensors" |
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# Create pipe |
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pipe = StableDiffusionPipeline.from_ckpt(model, |
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torch_dtype=torch.float16, |
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safety_checker=None, |
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feature_extractor=None, |
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requires_safety_checker=False,) |
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# Cleanup |
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del pipe.vae.encoder |
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torch.cuda.empty_cache() |
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# Send to GPU |
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pipe = pipe.to("cuda") |
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# Optimize for low vram use and clear cache again |
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pipe.enable_vae_tiling() |
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pipe.enable_attention_slicing("max") |
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pipe.enable_xformers_memory_efficient_attention(attention_op=None) |
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pipe.unet.to(memory_format=torch.channels_last) |
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pipe.enable_sequential_cpu_offload() |
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torch.cuda.empty_cache() |
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# Set a prompt |
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prompt = "a cat" |
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# Generate image based on prompt |
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image = pipe(prompt).images[0] |
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# Save result image to disk |
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image.save("cat.png") |
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``` |
