Instructions to use ltx-community/LTX-2.3-Transformer-GroupC-STG-sm120-cu130-rb3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ltx-community/LTX-2.3-Transformer-GroupC-STG-sm120-cu130-rb3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ltx-community/LTX-2.3-Transformer-GroupC-STG-sm120-cu130-rb3", 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
| { | |
| "torch_version": "2.12.0+cu130", | |
| "is_debug_build": "False", | |
| "cuda_compiled_version": "13.0", | |
| "gcc_version": "(Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0", | |
| "clang_version": null, | |
| "cmake_version": "version 4.1.2", | |
| "os": "Ubuntu 22.04.5 LTS (x86_64)", | |
| "libc_version": "glibc-2.35", | |
| "python_version": "3.10.19 (main, Oct 31 2025, 23:02:46) [Clang 21.1.4 ] (64-bit runtime)", | |
| "python_platform": "Linux-6.12.88-119.157.amzn2023.x86_64-x86_64-with-glibc2.35", | |
| "is_cuda_available": "True", | |
| "cuda_runtime_version": "13.0.48", | |
| "cuda_module_loading": "", | |
| "nvidia_driver_version": "580.159.03", | |
| "nvidia_gpu_models": "GPU 0: NVIDIA RTX PRO 6000 Blackwell Server Edition", | |
| "cudnn_version": null, | |
| "is_xpu_available": "False", | |
| "pip_version": "pip3", | |
| "pip_packages": null, | |
| "conda_packages": "numpy 2.3.4 py311h2e04523_0 conda-forge\nnvidia-cublas 13.0.0.19 pypi_0 pypi\nnvidia-cuda-cupti 13.0.48 pypi_0 pypi\nnvidia-cuda-nvrtc 13.0.48 pypi_0 pypi\nnvidia-cuda-runtime 13.0.48 pypi_0 pypi\nnvidia-cudnn-cu13 9.13.0.50 pypi_0 pypi\nnvidia-cufft 12.0.0.15 pypi_0 pypi\nnvidia-curand 10.4.0.35 pypi_0 pypi\nnvidia-cusolver 12.0.3.29 pypi_0 pypi\nnvidia-cusparse 12.6.2.49 pypi_0 pypi\nnvidia-cusparselt-cu13 0.8.0 pypi_0 pypi\nnvidia-nccl-cu13 2.27.7 pypi_0 pypi\nnvidia-nvjitlink 13.0.39 pypi_0 pypi\nnvidia-nvtx 13.0.39 pypi_0 pypi\noptree 0.17.0 pypi_0 pypi\ntorch 2.9.1+cu130 pypi_0 pypi\ntorchaudio 2.9.1+cu130 pypi_0 pypi\ntorchelastic 0.2.2 pypi_0 pypi\ntorchvision 0.24.1+cu130 pypi_0 pypi\ntriton 3.5.1 pypi_0 pypi", | |
| "hip_compiled_version": "N/A", | |
| "hip_runtime_version": "N/A", | |
| "miopen_runtime_version": "N/A", | |
| "caching_allocator_config": {}, | |
| "is_xnnpack_available": "True", | |
| "cpu_info": "Architecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nAddress sizes: 46 bits physical, 48 bits virtual\nByte Order: Little Endian\nCPU(s): 192\nOn-line CPU(s) list: 0-191\nVendor ID: GenuineIntel\nModel name: Intel(R) Xeon(R) Platinum 8559C\nCPU family: 6\nModel: 207\nThread(s) per core: 2\nCore(s) per socket: 48\nSocket(s): 2\nStepping: 2\nBogoMIPS: 4800.00\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq monitor ssse3 fma cx16 pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 wbnoinvd ida arat avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq rdpid cldemote movdiri movdir64b md_clear serialize amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities\nHypervisor vendor: KVM\nVirtualization type: full\nL1d cache: 4.5 MiB (96 instances)\nL1i cache: 3 MiB (96 instances)\nL2 cache: 192 MiB (96 instances)\nL3 cache: 640 MiB (2 instances)\nNUMA node(s): 2\nNUMA node0 CPU(s): 0-47,96-143\nNUMA node1 CPU(s): 48-95,144-191\nVulnerability Gather data sampling: Not affected\nVulnerability Indirect target selection: Not affected\nVulnerability Itlb multihit: Not affected\nVulnerability L1tf: Not affected\nVulnerability Mds: Not affected\nVulnerability Meltdown: Not affected\nVulnerability Mmio stale data: Not affected\nVulnerability Reg file data sampling: Not affected\nVulnerability Retbleed: Not affected\nVulnerability Spec rstack overflow: Not affected\nVulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl\nVulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization\nVulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S\nVulnerability Srbds: Not affected\nVulnerability Tsa: Not affected\nVulnerability Tsx async abort: Not affected\nVulnerability Vmscape: Not affected" | |
| } |