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> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/llms.txt.
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# Diffusion

## Docs

- [Diffusion Models](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/overview.md): 
- [Black Forest Labs](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/black-forest-labs.md): Browse NeMo AutoModel coverage for Black Forest Labs diffusion models.
- [FLUX-3-Image-Klein-Base](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/black-forest-labs/flux-3-image-klein-base.md): Fine-tune FLUX-3-Image-Klein-Base for text-to-image generation and instruction-based image editing using NeMo AutoModel.
- [FLUX.1-dev](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/black-forest-labs/FLUX.1-dev.md): Use FLUX.1-dev with NeMo AutoModel for diffusion training and fine-tuning, with documented checkpoints, runnable recipes, setup guidance, and model reference details.
- [FLUX.2-dev](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/black-forest-labs/FLUX.2-dev.md): Fine-tune FLUX.2-dev for text-to-image generation with NeMo AutoModel using checked-in full-parameter and LoRA flow-matching recipes.
- [Diffusers](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/diffusers.md): Browse NeMo AutoModel coverage for Diffusers diffusion models.
- [LTX-2.3-Diffusers](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/diffusers/LTX-2.3-Diffusers.md): Fine-tune LTX-2.3-Diffusers for text-to-video generation with NeMo AutoModel using checked-in full-parameter and LoRA flow-matching recipes.
- [HunyuanVideo Community](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/hunyuanvideo-community.md): Browse NeMo AutoModel coverage for HunyuanVideo Community diffusion models.
- [HunyuanVideo-1.5-Diffusers-720p_t2v](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-720p_t2v.md): Use HunyuanVideo-1.5-Diffusers-720p_t2v with NeMo AutoModel for diffusion training and fine-tuning, including checkpoints, runnable recipes, setup, and reference details.
- [Lightricks](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/lightricks.md): Browse NeMo AutoModel coverage for Lightricks diffusion models.
- [LTX-2.3](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/lightricks/LTX-2.3.md): Fine-tune LTX-2.3 for synchronized video and audio generation with NeMo AutoModel using full-parameter, LoRA, and generation recipes.
- [Qwen](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/qwen.md): Browse NeMo AutoModel coverage for Qwen diffusion models.
- [Qwen-Image](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/qwen/Qwen-Image.md): Train Qwen-Image text-to-image and image-editing checkpoints with NeMo AutoModel using checked-in flow-matching and generation recipes.
- [Qwen-Image-2.1](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/qwen/Qwen-Image-2.1.md): Fine-tune Qwen-Image-2.1 text-to-image checkpoints with NeMo AutoModel using checked-in full-parameter and LoRA flow-matching recipes.
- [Qwen-Image-Edit-2511](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/qwen/Qwen-Image-Edit-2511.md): Use NeMo AutoModel to fine-tune Qwen-Image-Edit-2511 for Diffusion workflows with checked-in image to image recipes and documented distributed settings.
- [Tencent](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/tencent.md): Browse NeMo AutoModel coverage for Tencent diffusion models.
- [HunyuanImage-3.0](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/tencent/HunyuanImage-3.0.md): Fine-tune tencent/HunyuanImage-3.0, an 80B MoE text-to-image transformer, with LoRA and expert parallelism in NeMo AutoModel.
- [Wan AI](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/wan-ai.md): Browse NeMo AutoModel coverage for Wan AI diffusion models.
- [Wan2.1-T2V-1.3B-Diffusers](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/wan-ai/Wan2.1-T2V-1.3B-Diffusers.md): Reference Wan2.1-T2V-1.3B-Diffusers checkpoint and architecture details for NeMo AutoModel, with setup guidance and related training recipes.
- [Wan2.1-T2V-14B-Diffusers](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/wan-ai/Wan2.1-T2V-14B-Diffusers.md): Use NeMo AutoModel to fine-tune Wan2.1-T2V-14B-Diffusers for Diffusion workflows with checked-in text to video recipes and documented distributed settings.
- [Wan2.2-T2V-A14B-Diffusers](https://docs.nvidia.com/nemo/automodel/nightly/model-coverage/diffusion/wan-ai/Wan2.2-T2V-A14B-Diffusers.md): Use Wan2.2-T2V-A14B-Diffusers with NeMo AutoModel for diffusion training and fine-tuning, including checkpoints, runnable recipes, setup, and reference details.