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LTX2 Rapid Merges 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.

Quellehuggingface.co/3ndetz/LTX2-Rapid-Merges-GGUF/tree/b89b847afb95edcc1391e49a5adc92ed5b13ba8d
ArtOtherBasismodellPhr00t/LTX2-Rapid-MergesVersionRevision b89b847BBewertung

Modellquelle

Art
Other
Dateigröße
8,07–35,2 GB
Basismodell
Phr00t/LTX2-Rapid-Merges
Version
vRevision b89b847
Aktualisiert
9. Okt. 2026
Downloads
347
Quelle
Hugging Face

Quellenbeschreibung

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

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:

	{"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)

Quellen

1 Quelle
Hugging FacePrimärVersion b89b847afb95edcc1391e49a5adc92ed5b13ba8d
huggingface.co/3ndetz/LTX2-Rapid-Merges-GGUF/tree/b89b847afb95edcc1391e49a5adc92ed5b13ba8d

Verifiziert 9. Okt.

Modellartefakte

22 Artefakte

nsfw/ltx2-phr00tmerge-nsfw-v41/ltx2-phr00tmerge-nsfw-v41-F16.gguf

gguf · 35,2 GB · SHA-256 bd212c561a5a…3de0 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v41/ltx2-phr00tmerge-nsfw-v41-Q4_0.gguf

gguf · 10,6 GB · SHA-256 91b1eb144d09…19e8 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v41/ltx2-phr00tmerge-nsfw-v41-Q4_K_M.gguf

gguf · 11,8 GB · SHA-256 cd210876e343…90d3 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v41/ltx2-phr00tmerge-nsfw-v41-Q5_0.gguf

gguf · 12,7 GB · SHA-256 08f1cf403db3…4d53 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v41/ltx2-phr00tmerge-nsfw-v41-Q5_K_M.gguf

gguf · 13,2 GB · SHA-256 4aaf8651bee1…3954 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v41/ltx2-phr00tmerge-nsfw-v41-Q8_0.gguf

gguf · 19,0 GB · SHA-256 02b447346a3b…48ab · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-F16.gguf

gguf · 35,2 GB · SHA-256 849fc7dbf07a…a83e · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-Q3_K_M.gguf

gguf · 8,80 GB · SHA-256 79792dda7847…ce8a · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-Q3_K_S.gguf

gguf · 8,07 GB · SHA-256 60f5112c6368…ae19 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-Q3_K.gguf

gguf · 8,80 GB · SHA-256 79792dda7847…ce8a · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-Q4_0.gguf

gguf · 10,6 GB · SHA-256 cb40bda89720…c1a0 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-Q4_K_M.gguf

gguf · 11,8 GB · SHA-256 97fbc1303310…7405 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-Q5_0.gguf

gguf · 12,7 GB · SHA-256 0edb04ffb7ba…6778 · Hugging Face

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nsfw/ltx2-phr00tmerge-nsfw-v62/ltx2-phr00tmerge-nsfw-v62-Q5_K_M.gguf

gguf · 13,2 GB · SHA-256 0e8e53c9ef96…1bca · Hugging Face

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sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-F16.gguf

gguf · 35,2 GB · SHA-256 f25d16008f76…d12c · Hugging Face

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sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-Q3_K_M.gguf

gguf · 8,80 GB · SHA-256 59006750bec0…8eec · Hugging Face

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sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-Q3_K_S.gguf

gguf · 8,07 GB · SHA-256 69e20fa823d5…f948 · Hugging Face

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sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-Q3_K.gguf

gguf · 8,80 GB · SHA-256 59006750bec0…8eec · Hugging Face

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sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-Q4_0.gguf

gguf · 10,6 GB · SHA-256 48a094405895…9af6 · Hugging Face

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sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-Q4_K_M.gguf

gguf · 11,8 GB · SHA-256 f8c1adf7b5da…de32 · Hugging Face

Herunterladen

sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-Q5_0.gguf

gguf · 12,7 GB · SHA-256 0b32099d1728…6127 · Hugging Face

Herunterladen

sfw/ltx2-phr00tmerge-sfw-v5/ltx2-phr00tmerge-sfw-v5-Q5_K_M.gguf

gguf · 13,2 GB · SHA-256 85a3c84256ba…b6ec · Hugging Face

Herunterladen

Quellenauszüge

3 Auszüge
Readme31. Julihuggingface.co/3ndetz/LTX2-Rapid-Merges-GGUF

--- base_model: - Phr00t/LTX2-Rapid-Merges tags: - GGUF - quant - quantization - quantized - wip - untested - test - gguf pipeline_tag: image-text-to-video --- # LTX-2 Rapid GGUF GGUF version of the original [LTX-2 Rapid](https://huggingface.co/Phr00t/LTX2-Rapid-Merges), converted in [colab](https://colab.research.google.com/drive/1b9un_g6vEFa-DWAV_kLImtWdXkqNZl2B?usp=sharing) (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](https://huggingface.co/3ndetz/LTX2-Rapid-Merges-GGUF/blob/main/LTXV-DoAlmostEverything-v3-GGUF.json) - [ ] 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], "connect...

Note9. Okt.huggingface.co/3ndetz/LTX2-Rapid-Merges-GGUF

Source context: 347 downloads · 25 likes · Pipeline image-text-to-video · Repo 3ndetz/LTX2-Rapid-Merges-GGUF

Note31. Julihuggingface.co/3ndetz/LTX2-Rapid-Merges-GGUF

Source context: 480 downloads · 24 likes · Pipeline image-text-to-video · Repo 3ndetz/LTX2-Rapid-Merges-GGUF