| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
Add models/audio_encoders directory. (#9548) | 1 年前 | |
Add support for BiRefNet background remove model (CORE-46) (#12747) | 3 个月前 | |
Initial commit. | 3 年前 | |
Add a CLIPLoader node to load standalone clip weights. Put them in models/clip | 3 年前 | |
Implement support for t2i style model. It needs the CLIPVision model so I added CLIPVisionLoader and CLIPVisionEncode. Put the clip vision model in models/clip_vision Put the t2i style model in models/style_models StyleModelLoader to load it, StyleModelApply to apply it ConditioningAppend to append the conditioning it outputs to a positive one. | 3 年前 | |
Add the config for the SD1.x inpainting model. | 3 年前 | |
Merge T2IAdapterLoader and ControlNetLoader. Workflows will be auto updated. | 3 年前 | |
Update MediaPipe nodes to standardize with existing code base (CORE-242) (#14025) | 3 个月前 | |
diffusers loader | 3 年前 | |
unet -> diffusion_models. | 2 年前 | |
Add support for textual inversion embedding for SD1.x CLIP. | 3 年前 | |
feat: RIFE and FILM frame interpolation model support (CORE-29) (#13258) * initial RIFE support * Also support FILM * Better RAM usage, reduce FILM VRAM peak * Add model folder placeholder * Fix oom fallback frame loss * Remove torch.compile for now * Rename model input * Shorter input type name --------- | 4 个月前 | |
feat: Support MoGe (CORE-168) (#13878) | 3 个月前 | |
Add support for GLIGEN textbox model. | 3 年前 | |
Implement Linear hypernetworks. Add a HypernetworkLoader node to use hypernetworks. | 3 年前 | |
HunyuanVideo 1.5 (#10819) * init * update * Update model.py * Update model.py * remove print * Fix text encoding * Prevent empty negative prompt Really doesn't work otherwise * fp16 works * I2V * Update model_base.py * Update nodes_hunyuan.py * Better latent rgb factors * Use the correct sigclip output... * Support HunyuanVideo1.5 SR model * whitespaces... * Proper latent channel count * SR model fixes This also still needs timesteps scheduling based on the noise scale, can be used with two samplers too already * vae_refiner: roll the convolution through temporal Work in progress. Roll the convolution through time using 2-latent-frame chunks and a FIFO queue for the convolution seams. * Support HunyuanVideo15 latent resampler * fix * Some cleanup Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com> * Proper hyvid15 I2V channels Co-Authored-By: comfyanonymous <121283862+comfyanonymous@users.noreply.github.com> * Fix TokenRefiner for fp16 Otherwise x.sum has infs, just in case only casting if input is fp16, I don't know if necessary. * Bugfix for the HunyuanVideo15 SR model * vae_refiner: roll the convolution through temporal II Roll the convolution through time using 2-latent-frame chunks and a FIFO queue for the convolution seams. Added support for encoder, lowered to 1 latent frame to save more VRAM, made work for Hunyuan Image 3.0 (as code shared). Fixed names, cleaned up code. * Allow any number of input frames in VAE. * Better VAE encode mem estimation. * Lowvram fix. * Fix hunyuan image 2.1 refiner. * Fix mistake. * Name changes. * Rename. * Whitespace. * Fix. * Fix. --------- Co-authored-by: kijai <40791699+kijai@users.noreply.github.com> Co-authored-by: Rattus <rattus128@gmail.com> | 9 个月前 | |
Add a LoraLoader node to apply loras to models and clip. The models are modified in place before being used and unpatched after. I think this is better than monkeypatching since it might make it easier to use faster non pytorch unet inference in the future. | 3 年前 | |
Support for Qwen Diffsynth Controlnets canny and depth. (#9465) These are not real controlnets but actually a patch on the model so they will be treated as such. Put them in the models/model_patches/ folder. Use the new ModelPatchLoader and QwenImageDiffsynthControlnet nodes. | 1 年前 | |
Void model - pass 1 & 2 (CORE-38) (#13403) | 4 个月前 | |
Add experimental photomaker nodes. Put the model file in models/photomaker and use PhotoMakerLoader. Then use PhotoMakerEncode with the keyword "photomaker" to apply the image | 2 年前 | |
Implement support for t2i style model. It needs the CLIPVision model so I added CLIPVisionLoader and CLIPVisionEncode. Put the clip vision model in models/clip_vision Put the t2i style model in models/style_models StyleModelLoader to load it, StyleModelApply to apply it ConditioningAppend to append the conditioning it outputs to a positive one. | 3 年前 | |
Update folder paths: "clip" -> "text_encoders" You can still use models/clip but the folder might get removed eventually on new installs of ComfyUI. | 1 年前 | |
Support loading unet files in diffusers format. | 3 年前 | |
Take some code from chainner to implement ESRGAN and other upscale models. | 3 年前 | |
Initial commit. | 3 年前 | |
Refactor previews into one command line argument. Clean up a few things. | 3 年前 |
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