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--- |
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license: apache-2.0 |
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tags: |
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- text-to-image |
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- kandinsky |
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inference: false |
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--- |
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# Kandinsky 3.0 IP Adapter |
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## Usage |
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```python |
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pip install git+https://github.com/ai-forever/kandinsky3-diffusers.git |
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``` |
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### Image variations |
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```python |
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from diffusers.models.attention_processor import Kandi3AttnProcessorIpAdapter, Kandi3AttnProcessor |
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from diffusers.pipelines.kandinsky3.kandinsky3_pipeline_ip_adapter import KandinskyV3PipelineIpAdapter |
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from PIL import Image |
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import torch |
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pipe = KandinskyV3PipelineIpAdapter.from_pretrained('ai-forever/kandinsky3_ip_adapter', torch_dtype=torch.float16, low_cpu_mem_usage=False, device_map=None) |
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pipe = pipe.to('cuda') |
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img = Image.open('path_to_img.jpg') |
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out_img = pipe(caption, img=[img], weights=[1], negative_prompt='', height=1024, width=1024, guidance_scale=7.5, num_inference_steps=50, cut_context=1)[0][0] |
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``` |