Instructions to use ViTeX-Bench/ViTeX-Edit-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ViTeX-Bench/ViTeX-Edit-14B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ViTeX-Bench/ViTeX-Edit-14B", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| flux_general_vram_config = { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.GroupNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.general_modules.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.flux_lora_encoder.LoRALayerBlock": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.flux_lora_patcher.LoraMerger": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| } | |
| VRAM_MANAGEMENT_MODULE_MAPS = { | |
| "diffsynth.models.qwen_image_dit.QwenImageDiT": { | |
| "diffsynth.models.qwen_image_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.qwen_image_text_encoder.QwenImageTextEncoder": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.qwen2_5_vl.modeling_qwen2_5_vl.Qwen2_5_VLRotaryEmbedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.qwen2_5_vl.modeling_qwen2_5_vl.Qwen2RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.qwen2_5_vl.modeling_qwen2_5_vl.Qwen2_5_VisionPatchEmbed": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.qwen2_5_vl.modeling_qwen2_5_vl.Qwen2_5_VisionRotaryEmbedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.qwen_image_vae.QwenImageVAE": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.qwen_image_vae.QwenImageRMS_norm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.qwen_image_controlnet.BlockWiseControlBlock": { | |
| "diffsynth.models.qwen_image_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| }, | |
| "diffsynth.models.siglip2_image_encoder.Siglip2ImageEncoder": { | |
| "transformers.models.siglip.modeling_siglip.SiglipVisionEmbeddings": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.siglip.modeling_siglip.SiglipMultiheadAttentionPoolingHead": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| }, | |
| "diffsynth.models.dinov3_image_encoder.DINOv3ImageEncoder": { | |
| "transformers.models.dinov3_vit.modeling_dinov3_vit.DINOv3ViTLayerScale": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.dinov3_vit.modeling_dinov3_vit.DINOv3ViTRopePositionEmbedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.dinov3_vit.modeling_dinov3_vit.DINOv3ViTEmbeddings": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| }, | |
| "diffsynth.models.qwen_image_image2lora.QwenImageImage2LoRAModel": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| }, | |
| "diffsynth.models.wan_video_animate_adapter.WanAnimateAdapter": { | |
| "diffsynth.models.wan_video_animate_adapter.FaceEncoder": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_animate_adapter.EqualLinear": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_animate_adapter.ConvLayer": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_animate_adapter.FusedLeakyReLU": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_animate_adapter.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_dit_s2v.WanS2VModel": { | |
| "diffsynth.models.wan_video_dit.Head": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit_s2v.WanS2VDiTBlock": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit_s2v.CausalAudioEncoder": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_dit.WanModel": { | |
| "diffsynth.models.wan_video_dit.MLP": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit.DiTBlock": "diffsynth.core.vram.layers.AutoWrappedNonRecurseModule", | |
| "diffsynth.models.wan_video_dit.Head": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_image_encoder.WanImageEncoder": { | |
| "diffsynth.models.wan_video_image_encoder.VisionTransformer": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_mot.MotWanModel": { | |
| "diffsynth.models.wan_video_mot.MotWanAttentionBlock": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_motion_controller.WanMotionControllerModel": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| }, | |
| "diffsynth.models.wan_video_text_encoder.WanTextEncoder": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_text_encoder.T5RelativeEmbedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_text_encoder.T5LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_vace.VaceWanModel": { | |
| "diffsynth.models.wan_video_dit.DiTBlock": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_vae.WanVideoVAE": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_vae.RMS_norm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_vae.CausalConv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_vae.Upsample": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.SiLU": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Dropout": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wan_video_vae.WanVideoVAE38": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_vae.RMS_norm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_vae.CausalConv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_vae.Upsample": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.SiLU": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Dropout": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.wav2vec.WanS2VAudioEncoder": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.longcat_video_dit.LongCatVideoTransformer3DModel": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.longcat_video_dit.RMSNorm_FP32": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.longcat_video_dit.LayerNorm_FP32": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.flux_dit.FluxDiT": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "diffsynth.models.flux_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.flux_text_encoder_clip.FluxTextEncoderClip": flux_general_vram_config, | |
| "diffsynth.models.flux_vae.FluxVAEEncoder": flux_general_vram_config, | |
| "diffsynth.models.flux_vae.FluxVAEDecoder": flux_general_vram_config, | |
| "diffsynth.models.flux_controlnet.FluxControlNet": flux_general_vram_config, | |
| "diffsynth.models.flux_infiniteyou.InfiniteYouImageProjector": flux_general_vram_config, | |
| "diffsynth.models.flux_ipadapter.FluxIpAdapter": flux_general_vram_config, | |
| "diffsynth.models.flux_lora_patcher.FluxLoraPatcher": flux_general_vram_config, | |
| "diffsynth.models.step1x_connector.Qwen2Connector": flux_general_vram_config, | |
| "diffsynth.models.flux_lora_encoder.FluxLoRAEncoder": flux_general_vram_config, | |
| "diffsynth.models.flux_text_encoder_t5.FluxTextEncoderT5": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.t5.modeling_t5.T5LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.t5.modeling_t5.T5DenseActDense": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.t5.modeling_t5.T5DenseGatedActDense": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.flux_ipadapter.SiglipVisionModelSO400M": { | |
| "transformers.models.siglip.modeling_siglip.SiglipVisionEmbeddings": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.siglip.modeling_siglip.SiglipEncoder": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.siglip.modeling_siglip.SiglipMultiheadAttentionPoolingHead": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.MultiheadAttention": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.flux2_dit.Flux2DiT": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.flux2_text_encoder.Flux2TextEncoder": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.mistral.modeling_mistral.MistralRMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.flux2_vae.Flux2VAE": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.GroupNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.z_image_text_encoder.ZImageTextEncoder": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "transformers.models.qwen3.modeling_qwen3.Qwen3RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.z_image_dit.ZImageDiT": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "diffsynth.models.z_image_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.z_image_controlnet.ZImageControlNet": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "diffsynth.models.z_image_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.z_image_image2lora.ZImageImage2LoRAModel": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| }, | |
| "diffsynth.models.siglip2_image_encoder.Siglip2ImageEncoder428M": { | |
| "transformers.models.siglip2.modeling_siglip2.Siglip2VisionEmbeddings": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.siglip2.modeling_siglip2.Siglip2MultiheadAttentionPoolingHead": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| }, | |
| "diffsynth.models.ltx2_dit.LTXModel": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.ltx2_upsampler.LTX2LatentUpsampler": { | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.GroupNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.ltx2_video_vae.LTX2VideoEncoder": { | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.ltx2_video_vae.LTX2VideoDecoder": { | |
| "torch.nn.Conv3d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.ltx2_audio_vae.LTX2AudioDecoder": { | |
| "torch.nn.Conv2d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.ltx2_audio_vae.LTX2Vocoder": { | |
| "torch.nn.Conv1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.ConvTranspose1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.ltx2_text_encoder.LTX2TextEncoderPostModules": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.ltx2_text_encoder.Embeddings1DConnector": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.ltx2_text_encoder.LTX2TextEncoder": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "transformers.models.gemma3.modeling_gemma3.Gemma3MultiModalProjector": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.gemma3.modeling_gemma3.Gemma3RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "transformers.models.gemma3.modeling_gemma3.Gemma3TextScaledWordEmbedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.anima_dit.AnimaDiT": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Embedding": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.mova_audio_dit.MovaAudioDit": { | |
| "diffsynth.models.wan_video_dit.DiTBlock": "diffsynth.core.vram.layers.AutoWrappedNonRecurseModule", | |
| "diffsynth.models.wan_video_dit.Head": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.Conv1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.mova_dual_tower_bridge.DualTowerConditionalBridge": { | |
| "torch.nn.Linear": "diffsynth.core.vram.layers.AutoWrappedLinear", | |
| "torch.nn.LayerNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "diffsynth.models.wan_video_dit.RMSNorm": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| "diffsynth.models.mova_audio_vae.DacVAE": { | |
| "diffsynth.models.mova_audio_vae.Snake1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.Conv1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| "torch.nn.ConvTranspose1d": "diffsynth.core.vram.layers.AutoWrappedModule", | |
| }, | |
| } | |
| def QwenImageTextEncoder_Module_Map_Updater(): | |
| current = VRAM_MANAGEMENT_MODULE_MAPS["diffsynth.models.qwen_image_text_encoder.QwenImageTextEncoder"] | |
| from packaging import version | |
| import transformers | |
| if version.parse(transformers.__version__) >= version.parse("5.2.0"): | |
| # The Qwen2RMSNorm in transformers 5.2.0+ has been renamed to Qwen2_5_VLRMSNorm, so we need to update the module map accordingly | |
| current.pop("transformers.models.qwen2_5_vl.modeling_qwen2_5_vl.Qwen2RMSNorm", None) | |
| current["transformers.models.qwen2_5_vl.modeling_qwen2_5_vl.Qwen2_5_VLRMSNorm"] = "diffsynth.core.vram.layers.AutoWrappedModule" | |
| return current | |
| VERSION_CHECKER_MAPS = { | |
| "diffsynth.models.qwen_image_text_encoder.QwenImageTextEncoder": QwenImageTextEncoder_Module_Map_Updater, | |
| } |