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--- |
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tags: |
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- text-to-video |
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- lora |
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- diffusers |
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- template:sd-lora |
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- ai-toolkit |
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base_model: ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16 |
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license: creativeml-openrail-m |
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inference: |
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parameters: |
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width: 1024 |
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height: 1024 |
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instance_prompt: aviv4 |
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--- |
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# my_first_lora_v1-lora |
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) |
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## Trigger words |
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You should use `aviv4` to trigger the image generation. |
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
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Weights for this model are available in Safetensors format. |
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[Download](bigdoinks420518/my_first_lora_v1-lora/tree/main) them in the Files & versions tab. |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.bfloat16).to('cuda') |
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pipeline.load_lora_weights('bigdoinks420518/my_first_lora_v1-lora', weight_name='my_first_lora_v1_low_noise.safetensors') |
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image = pipeline('aviv4').images[0] |
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image.save("my_image.png") |
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``` |
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) |
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