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Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256-lora – AI Model by jasbloom | AlphaNeural AI

You can deploy this model and start earning money today!

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Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256-lora

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ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16

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Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256-lora

Model trained with AI Toolkit by Ostris

Trigger words

You should use mmxxii to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

py

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('jasbloom/Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256-lora', weight_name='Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256_low_noise.safetensors')
image = pipeline('mmxxii').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers