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
| { | |
| "schema_version": 1, | |
| "id": "cineforge-wan22-i2v-a14b-fp8", | |
| "label": "CineForge Wan 2.2 I2V A14B FP8", | |
| "version": "0.2.0-rc1", | |
| "state": "release-candidate", | |
| "family": "wan2.2", | |
| "pipeline": "image-to-video", | |
| "precision": "scaled-fp8", | |
| "upstream": { | |
| "project": "Wan-Video/Wan2.2", | |
| "model": "Wan-AI/Wan2.2-I2V-A14B", | |
| "revision": "206a9ee1b7bfaaf8f7e4d81335650533490646a3", | |
| "repack": "Comfy-Org/Wan_2.2_ComfyUI_Repackaged", | |
| "repack_revision": "fb1388adc906ab39ffc26ee40e96b22886b56bc4" | |
| }, | |
| "minimum_cineforge_version": "0.3.0", | |
| "components": [ | |
| { | |
| "role": "high_noise_transformer", | |
| "path": "components/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors", | |
| "bytes": 14294742832, | |
| "sha256": "6122e79d55e0f235698d11d657f3b196c5273c830da00b2b013c5a048d5e6a42" | |
| }, | |
| { | |
| "role": "low_noise_transformer", | |
| "path": "components/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors", | |
| "bytes": 14294742832, | |
| "sha256": "5471a457b6ac404202a5fbe6c11595a3d5641fc766b00f38763f72303fffc21e" | |
| }, | |
| { | |
| "role": "text_encoder", | |
| "path": "components/umt5_xxl_fp8_e4m3fn_scaled.safetensors", | |
| "bytes": 6735906897, | |
| "sha256": "c3355d30191f1f066b26d93fba017ae9809dce6c627dda5f6a66eaa651204f68" | |
| }, | |
| { | |
| "role": "vae", | |
| "path": "components/wan_2.1_vae.safetensors", | |
| "bytes": 253815318, | |
| "sha256": "2fc39d31359a4b0a64f55876d8ff7fa8d780956ae2cb13463b0223e15148976b" | |
| } | |
| ], | |
| "support_path": "support", | |
| "validation": { | |
| "native_load": true, | |
| "generation": true, | |
| "progress_telemetry": true, | |
| "output_media": true, | |
| "clean_machine": false | |
| }, | |
| "notes": "Native scaled-FP8 loading and a real two-expert I2V MP4 smoke test passed on an RTX 4070 with CineForge Desktop. Clean-machine installer validation remains required before the pack is marked stable." | |
| } | |