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Merged
entrpn merged 9 commits into from
Aug 13, 2025
Merged

Logging Fix #222

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65fe079
ltx instruction update
Serenagu525 Jul 28, 2025
8af7225
updated whatsnew
Serenagu525 Jul 29, 2025
14b8c1f
updated table of contents
Serenagu525 Jul 29, 2025
06a8f55
changed order
Serenagu525 Jul 29, 2025
16f6b1f
Fix logging error
Serenagu525 Aug 5, 2025
bf4a646
renamed json
Serenagu525 Aug 6, 2025
738afda
renamed files
Serenagu525 Aug 6, 2025
10fa395
resolved README conflict
Serenagu525 Aug 13, 2025
e657c90
merged with main
Serenagu525 Aug 13, 2025
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4 changes: 2 additions & 2 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -177,11 +177,11 @@ To generate images, run the following command:
## LTX-Video
- In the folder src/maxdiffusion/models/ltx_video/utils, run:
```bash
python convert_torch_weights_to_jax.py --ckpt_path [LOCAL DIRECTORY FOR WEIGHTS] --transformer_config_path ../xora_v1.2-13B-balanced-128.json
python convert_torch_weights_to_jax.py --ckpt_path [LOCAL DIRECTORY FOR WEIGHTS] --transformer_config_path ../ltxv-13B.json
```
- In the repo folder, run:
```bash
python src/maxdiffusion/generate_ltx_video.py src/maxdiffusion/configs/ltx_video.yml output_dir="[SAME DIRECTORY]" config_path="src/maxdiffusion/models/ltx_video/xora_v1.2-13B-balanced-128.json"
python src/maxdiffusion/generate_ltx_video.py src/maxdiffusion/configs/ltx_video.yml output_dir="[SAME DIRECTORY]" config_path="src/maxdiffusion/models/ltx_video/ltxv-13B.json"
```
- Other generation parameters can be set in ltx_video.yml file.
## Flux
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0 ...ltx_video/xora_v1.2-13B-balanced-128.json → ...xdiffusion/models/ltx_video/ltxv-13B.json
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10 changes: 4 additions & 6 deletions src/maxdiffusion/pipelines/ltx_video/ltx_video_pipeline.py
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Expand Up @@ -60,12 +60,10 @@

def validate_transformer_inputs(prompt_embeds, fractional_coords, latents, encoder_attention_segment_ids):
# Note: reference shape annotated for first pass default inference parameters
max_logging.log("prompts_embeds.shape: ", prompt_embeds.shape, prompt_embeds.dtype) # (3, 256, 4096) float32
max_logging.log("fractional_coords.shape: ", fractional_coords.shape, fractional_coords.dtype) # (3, 3, 3072) float32
max_logging.log("latents.shape: ", latents.shape, latents.dtype) # (1, 3072, 128) float 32
max_logging.log(
"encoder_attention_segment_ids.shape: ", encoder_attention_segment_ids.shape, encoder_attention_segment_ids.dtype
) # (3, 256) int32
max_logging.log(f"prompts_embeds.shape: {prompt_embeds.shape}") # (3, 256, 4096) float32
max_logging.log(f"fractional_coords.shape: {fractional_coords.shape}") # (3, 3, 3072) float32
max_logging.log(f"latents.shape: {latents.shape}") # (1, 3072, 128) float 32
max_logging.log(f"encoder_attention_segment_ids.shape: {encoder_attention_segment_ids.shape}") # (3, 256) int32


class LTXVideoPipeline:
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