Instructions to use TheBaldDudeCo/CineForge-Wan-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheBaldDudeCo/CineForge-Wan-Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheBaldDudeCo/CineForge-Wan-Models", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Wan2.2
How to use TheBaldDudeCo/CineForge-Wan-Models with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,449 Bytes
38dd89a 3abefe0 493b7c8 38dd89a 493b7c8 38dd89a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | # Validation record
## Current state
- Four core files uploaded: passed
- Remote byte sizes: passed
- Remote SHA-256 identifiers: passed
- Native load: passed on NVIDIA GeForce RTX 4070 (12 GB)
- End-to-end generation: passed without ComfyUI
- Progress telemetry: passed at both Wan expert steps
- Output validation: passed; five finite 256x256 frames exported to a decodable MP4
- Clean-machine install: not passed
The pack is a release candidate. It must still pass the clean-machine installer test before stable designation.
## 2026-08-14 native smoke test
- Pipeline: Wan 2.2 I2V A14B high-noise + low-noise experts
- Runtime: CineForge native PyTorch/Diffusers loader; ComfyUI absent
- GPU: NVIDIA GeForce RTX 4070, 12 GB VRAM
- Resolution / frames / steps: 256x256 / 5 / 2 diagnostic steps
- Scheduler: UniPC flow-prediction scheduler, flow shift 3.0
- Seed: 42
- Latents: finite after both expert stages
- Frames: finite, range 0.0-1.0, standard deviation 0.081485
- MP4: exported successfully; 19,970 bytes
- Wall time: 231.1 seconds
## Evidence required
- CineForge commit and model repository commit
- Windows, NVIDIA driver, GPU, VRAM, RAM, and disk usage
- input image hash and non-sensitive prompt fixture
- seed, resolution, frame count, frame rate, and inference settings
- wall time, peak VRAM, and peak system RAM
- output video hash and media probe results
- startup and shutdown logs with secrets and private paths removed
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