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Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256-lora
jasbloom/Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256-lora
Wan2.2-T2V-A14B-Diffusers-bf16-mmxxii-rank256-lora is a text-to-video model from jasbloom. Use it when you need video from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
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.safetensors19.4 GB · 100%
At a glance
- Task
- Text-to-Video
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Oct 3, 2025
- Updated
- Oct 3, 2025
- SHA
- 1804fc56
Base models
Model card
From the Hugging Face model README
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
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
- Task
- Text-to-Video
- Library
- diffusers
- License
- creativeml-openrail-m
- Created
- Oct 3, 2025
- Updated
- Oct 3, 2025