I have recently been working with WAN 2.2 for AI video generation in comfyui. <\/p>\n\n\n\n
One of the workflows that I experimented with was the Phantom Wan 14B Workflow that is included in comfyui as a default template.<\/p>\n\n\n\n
However, I had two issues with this workflow.<\/p>\n\n\n\n
Firstly, when the “base_precision” is set to the default of “fp16_fast” I get the following error:<\/p>\n\n\n\n
torch.backends.cuda.matmul.allow_fp16_accumulation is not available in this version of torch, requires torch 2.7.0.dev2025 02 26 nightly minimum currently<\/p>\n\n\n\n
This can be easily fixed by setting the base_precision to “fp16”<\/p>\n\n\n\n
However, I then ran into another issue, which took several hours to solve. This issue was coming from the WanVideo Sampler:<\/p>\n\n\n\n
must be called with a dataclass type or instance<\/p>\n\n\n\n
After updating comfyui UI, Cuda, and verifying that my pytorch versions were compatible, I was eventually (With the help of chatGPT) able to figure out that the issue was with the “WanVideo Torch Compile Settings” node included in the default workflow.<\/p>\n\n\n\n
When I bypassed this, the Phantom 14B Workflow worked fine.<\/p>\n\n\n\n
I am making this post in the hopes that this might help save someone else some time, I couldn’t find any users with a similar issue online.<\/p>\n\n\n\n
<\/p>\n\n\n\n
<\/p>\n\n\n\n\n","protected":false},"excerpt":{"rendered":"
I have recently been working with WAN 2.2 for AI video generation in comfyui. One of the workflows that I experimented with was the Phantom Wan 14B Workflow that is included in comfyui as a default template. However, I had two issues with this workflow. Firstly, when the “base_precision” is set to the default of […]<\/p>\n","protected":false},"author":1,"featured_media":11473,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37,12],"tags":[],"class_list":["post-11469","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-tutorials","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"aioseo_notices":[],"builder_content":"","_links":{"self":[{"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/posts\/11469"}],"collection":[{"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/comments?post=11469"}],"version-history":[{"count":14,"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/posts\/11469\/revisions"}],"predecessor-version":[{"id":11488,"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/posts\/11469\/revisions\/11488"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/media\/11473"}],"wp:attachment":[{"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/media?parent=11469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/categories?post=11469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/phoenixgamedevelopment.com\/blog\/wp-json\/wp\/v2\/tags?post=11469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}