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REPORT.md

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+# NVIDIA Cosmos World Foundation Models - Deployment Report
+
+## Summary
+
+| Item | Value |
+|------|-------|
+| **Space URL** | https://huggingface.co/spaces/wbw2000/cosmos-predict-transfer-demo |
+| **Commit Hash** | `f829a7a65deb6afc884d48e479a0c02f16885e24` |
+| **Created** | 2026-01-26 |
+| **Status** | Building / Pending Verification |
+
+---
+
+## 1. Model Information
+
+### Cosmos Predict2.5-2B
+| Property | Value |
+|----------|-------|
+| **Model ID** | `nvidia/Cosmos-Predict2.5-2B` |
+| **Parameters** | 2,059,174,912 (~2.06B) |
+| **VRAM Required** | 32.54 GB |
+| **Precision** | BF16 only |
+| **Capabilities** | Text2World, Image2World, Video2World |
+
+### Cosmos Transfer2.5-2B
+| Property | Value |
+|----------|-------|
+| **Model ID** | `nvidia/Cosmos-Transfer2.5-2B` |
+| **Parameters** | 2,358,047,744 (~2.36B) |
+| **VRAM Required** | 65.4 GB |
+| **Precision** | BF16 only |
+| **Control Inputs** | Blur, Edge, Depth, Segmentation |
+
+---
+
+## 2. Hardware Configuration
+
+| Property | Value |
+|----------|-------|
+| **Hardware** | ZeroGPU (NVIDIA H200) |
+| **VRAM** | 70 GB |
+| **Supported** | Both Predict2.5 (32GB) and Transfer2.5 (65GB) |
+| **GPU Duration** | Predict: 300s, Transfer: 420s |
+
+### Why ZeroGPU/H200
+- Predict2.5-2B requires 32.54 GB → A10G (24GB) insufficient
+- Transfer2.5-2B requires 65.4 GB → Only H200 (70GB) or A100 (80GB) sufficient
+- ZeroGPU H200 (70GB) is the most cost-effective option on HuggingFace
+
+---
+
+## 3. Key Dependencies
+
+```
+torch==2.5.1
+diffusers>=0.34.0
+transformers>=4.52.4
+accelerate>=1.7.0
+gradio>=5.0.0
+av>=14.0.0
+opencv-python-headless>=4.8.0
+imageio>=2.31.0
+scikit-image>=0.21.0
+```
+
+---
+
+## 4. Default Parameters
+
+### Predict2.5
+| Parameter | Default | Range |
+|-----------|---------|-------|
+| Resolution | 720×480 | 720×480 or 1280×720 |
+| Frames | 49 (~3s) | 17-97 |
+| Inference Steps | 30 | 10-50 |
+| Guidance Scale | 7.0 | 1.0-15.0 |
+| Seed | 42 | Any integer |
+
+### Transfer2.5
+| Parameter | Default | Range |
+|-----------|---------|-------|
+| Control Type | blur | blur, edge, depth, segmentation |
+| Inference Steps | 30 | 10-50 |
+| Guidance Scale | 7.0 | 1.0-15.0 |
+| Control Scale | 1.0 | 0.5-2.0 |
+| Seed | 42 | Any integer |
+
+---
+
+## 5. Smoke Test Design
+
+### Tests Implemented
+
+#### Predict2.5 Tests (`tests/smoke_predict.py`)
+1. **Output Validation**: Verify video utilities work correctly
+2. **Model Loading**: Verify Predict2.5-2B can be loaded
+3. **Text2World Inference**: Generate video from text prompt
+
+#### Transfer2.5 Tests (`tests/smoke_transfer.py`)
+1. **Control Extraction**: Verify edge/depth extraction works
+2. **Style Consistency**: Verify SSIM computation works
+3. **Model Loading**: Verify Transfer2.5-2B can be loaded
+4. **Video Inference**: Apply style transfer to video
+
+### Running Tests
+
+```bash
+# All tests
+python -m tests.smoke_all
+
+# Predict2.5 only (if VRAM < 65GB)
+python -m tests.smoke_all --predict-only
+
+# Individual modules
+python -m tests.smoke_predict
+python -m tests.smoke_transfer
+```
+
+### Expected Output
+
+```
+======================================================================
+NVIDIA COSMOS WORLD FOUNDATION MODELS - SMOKE TESTS
+======================================================================
+
+[System Information]
+  python_version: 3.11.x
+  torch_version: 2.5.1
+  cuda_available: True
+  gpu_name: NVIDIA H200
+  gpu_total_vram_gb: 70.0
+
+[PREDICT2.5 TESTS]
+  output_validation: PASSED
+  model_loading: PASSED
+  text2world_inference: PASSED
+
+[TRANSFER2.5 TESTS]
+  control_extraction: PASSED
+  style_consistency: PASSED
+  model_loading: PASSED
+  video_inference: PASSED
+
+Overall: 7/7 tests passed
+STATUS: ALL TESTS PASSED
+```
+
+---
+
+## 6. Paper Consistency Validation
+
+### Reference
+**Paper**: arXiv 2511.00062 - "World Simulation with Video Foundation Models for Physical AI"
+
+### Validation Points
+
+#### 6.1 Predict2.5 - Temporal Consistency (Section 4.2)
+
+**Paper Claim**: "Generated videos maintain reasonable spatiotemporal continuity in short-term prediction"
+
+**Validation Method**:
+- Generate N=3 videos with different seeds
+- Compute mean frame-to-frame pixel difference
+- Verify differences are smooth (mean_diff < 50)
+
+**Metric**: Mean adjacent frame difference (pixel intensity 0-255 scale)
+
+**Pass Criteria**: mean_diff < 50 for majority of samples
+
+#### 6.2 Predict2.5 - Reproducibility (Section 5)
+
+**Paper Claim**: "Fixed random seeds produce deterministic outputs"
+
+**Validation Method**:
+- Run same prompt with same seed twice
+- Compute SSIM between corresponding frames
+- Verify outputs are nearly identical
+
+**Metric**: Mean SSIM between run1 and run2
+
+**Pass Criteria**: mean_ssim > 0.95
+
+#### 6.3 Transfer2.5 - Structure Preservation (Section 3.2)
+
+**Paper Claim**: "Cosmos-Transfer2.5 preserves structural consistency during domain transfer"
+
+**Validation Method**:
+- Extract edge maps from input and output
+- Compute SSIM between edge maps
+- Verify edges are preserved
+
+**Metric**: Edge SSIM between input and output
+
+**Pass Criteria**: mean_edge_ssim > 0.3
+
+#### 6.4 Transfer2.5 - Domain Change (Section 4.3)
+
+**Paper Claim**: "Model can perform world-to-world translation (e.g., day→night)"
+
+**Validation Method**:
+- Apply day→night transfer
+- Compute SSIM between input and output
+- Verify output differs from input while maintaining structure
+
+**Metric**: Pixel SSIM between input and output
+
+**Pass Criteria**: 0.1 < mean_ssim < 0.9 (different but not random)
+
+### Running Validation
+
+```bash
+python -m tests.paper_validation
+python -m tests.paper_validation --skip-transfer  # If VRAM limited
+```
+
+---
+
+## 7. Limitations & Future Work
+
+### Current Limitations
+
+| Limitation | Reason | Potential Solution |
+|------------|--------|-------------------|
+| Transfer2.5 may fail on ZeroGPU | 65.4GB very close to 70GB limit | Use A100 80GB or quantization |
+| Long cold start | Large model downloads | Use model caching |
+| Limited output length | Avoid timeout (5 min) | Increase GPU duration |
+| No multi-view support | Not implemented | Add multi-view inference |
+
+### Not Covered from Paper
+
+1. **Multi-view generation** (Section 3.3) - Not implemented
+2. **Autonomous Vehicle post-training** (Section 4.1) - Not included
+3. **Full benchmark evaluation** (Section 5.2) - Only smoke tests
+4. **14B model variants** - VRAM insufficient
+
+### Future Improvements
+
+1. Add A100 80GB option for better Transfer2.5 stability
+2. Implement multi-view inference for robotics use cases
+3. Add quantized model variants for lower VRAM
+4. Implement full paper benchmark suite
+5. Add video-to-video inference for Predict2.5
+
+---
+
+## 8. API Usage Examples
+
+### Gradio Client (Python)
+
+```python
+from gradio_client import Client
+
+# Connect to Space
+client = Client("wbw2000/cosmos-predict-transfer-demo")
+
+# Text2World
+result = client.predict(
+    prompt="A peaceful garden with butterflies",
+    negative_prompt="low quality, blurry",
+    num_frames=49,
+    height=480,
+    width=720,
+    num_inference_steps=30,
+    guidance_scale=7.0,
+    seed=42,
+    api_name="/run_predict_text2world"
+)
+
+video_path, log = result
+print(f"Video saved to: {video_path}")
+```
+
+### REST API (curl)
+
+```bash
+curl -X POST "https://wbw2000-cosmos-predict-transfer-demo.hf.space/api/run_predict_text2world" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "data": [
+      "A futuristic city at sunset",
+      "low quality, blurry",
+      49, 480, 720, 30, 7.0, 42
+    ]
+  }'
+```
+
+---
+
+## 9. References
+
+- **Paper**: https://arxiv.org/abs/2511.00062
+- **Predict2.5 GitHub**: https://github.com/nvidia-cosmos/cosmos-predict2.5
+- **Transfer2.5 GitHub**: https://github.com/nvidia-cosmos/cosmos-transfer2.5
+- **Predict2.5 HuggingFace**: https://huggingface.co/nvidia/Cosmos-Predict2.5-2B
+- **Transfer2.5 HuggingFace**: https://huggingface.co/nvidia/Cosmos-Transfer2.5-2B
+- **License**: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license
+
+---
+
+## 10. Changelog
+
+| Date | Change |
+|------|--------|
+| 2026-01-26 | Initial deployment to HuggingFace Spaces |
+| - | Commit: f829a7a65deb6afc884d48e479a0c02f16885e24 |
+
+---
+
+*Report generated: 2026-01-26*
+*Author: Claude Code (Anthropic)*