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3ndetz/LTX2-Rapid-Merges-GGUF

sourceHugging Faceupdated 8mo agoView on Hugging Face

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LTX-2 Rapid GGUF

GGUF version of the original LTX-2 Rapid, converted in colab (this is link to the jupyter notebook script) using city96 gguf convertion instructions with manual adding config field to metadata.

Roadmap

—[x] Quants with fixed config
—[x] GGUF version of workflow
—[ ] Demo videos for different quants on the same noise seed

If someone will provide a test result for different quants to compare, it will be too good! PR into this repo

Developing

If you're making custom ggufs, do not forget to add this to gguf metadata into the config string field:

json

	{"transformer": {"_class_name": "AVTransformer3DModel", "_diffusers_version": "0.25.1", "activation_fn": "gelu-approximate", "attention_bias": true, "attention_head_dim": 128, "attention_type": "default", "caption_channels": 3840, "cross_attention_dim": 4096, "double_self_attention": false, "dropout": 0.0, "in_channels": 128, "norm_elementwise_affine": false, "norm_eps": 1e-06, "norm_num_groups": 32, "num_attention_heads": 32, "num_embeds_ada_norm": 1000, "num_layers": 48, "num_vector_embeds": null, "only_cross_attention": false, "cross_attention_norm": true, "out_channels": 128, "upcast_attention": false, "use_linear_projection": false, "qk_norm": "rms_norm", "standardization_norm": "rms_norm", "positional_embedding_type": "rope", "positional_embedding_theta": 10000.0, "positional_embedding_max_pos": [20, 2048, 2048], "timestep_scale_multiplier": 1000, "av_ca_timestep_scale_multiplier": 1000.0, "causal_temporal_positioning": true, "audio_num_attention_heads": 32, "audio_attention_head_dim": 64, "use_audio_video_cross_attention": true, "share_ff": false, "audio_out_channels": 128, "audio_cross_attention_dim": 2048, "audio_positional_embedding_max_pos": [20], "av_cross_ada_norm": true, "use_embeddings_connector": true, "connector_attention_head_dim": 128, "connector_num_attention_heads": 30, "connector_num_layers": 2, "connector_positional_embedding_max_pos": [4096], "connector_num_learnable_registers": 128, "connector_norm_output": true, "use_middle_indices_grid": true, "rope_type": "split", "frequencies_precision": "float64"}, "scheduler": {"_class_name": "RectifiedFlowScheduler", "_diffusers_version": "0.25.1", "num_train_timesteps": 1000, "shifting": null, "base_resolution": null, "sampler": "LinearQuadratic"}}

(config can change and should be taken from original to work properly)