Instructions to use lightx2v/Wan2.2-Distill-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Wan2.2-Distill-Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightx2v/Wan2.2-Distill-Models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use lightx2v/Wan2.2-Distill-Models with Diffusion Single File:
# 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -207,20 +207,27 @@ bash scripts/wan22/inference/distill/run_wan22_moe_i2v_distill.sh
|
|
| 207 |
---
|
| 208 |
### Method 2: LightX2V Studio — Online Video Creation
|
| 209 |
|
| 210 |
-
[**LightX2V Studio**](https://x2v.light-ai.top/) is an online AI avatar
|
| 211 |
-
|
| 212 |
-
|
| 213 |
-
|
| 214 |
-
|
| 215 |
-
|
| 216 |
-
|
| 217 |
-
|
|
|
|
| 218 |
No local installation or GPU setup is required.
|
| 219 |
|
| 220 |
-
|
| 221 |
-
|
| 222 |
-
|
| 223 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 224 |
|
| 225 |
---
|
| 226 |
### Method 3: ComfyUI
|
|
|
|
| 207 |
---
|
| 208 |
### Method 2: LightX2V Studio — Online Video Creation
|
| 209 |
|
| 210 |
+
[**LightX2V Studio**](https://x2v.light-ai.top/) is an online AI avatar and multimodal content production platform built on the LightX2V video generation inference framework. It focuses on AI avatar video creation and also offers text-to-video and image-to-video generation.
|
| 211 |
+
|
| 212 |
+
Create a **silent video** in your browser:
|
| 213 |
+
|
| 214 |
+
1. Sign in and choose **Text-to-Video** or **Image-to-Video**.
|
| 215 |
+
2. Enter a prompt or upload an image.
|
| 216 |
+
3. Review the settings and credit cost.
|
| 217 |
+
4. Generate and download the result.
|
| 218 |
+
|
| 219 |
No local installation or GPU setup is required.
|
| 220 |
|
| 221 |
+

|
| 222 |
+
|
| 223 |
+
*LightX2V Studio — Image-to-Video (Silent)*
|
| 224 |
+
|
| 225 |
+
**Current Wan2.2 deployment:** 4-step Rank64 LoRAs from [Wan2.2 Distill LoRAs](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras):
|
| 226 |
+
|
| 227 |
+
- **T2V:** `_1217` high/low-noise LoRAs.
|
| 228 |
+
- **I2V:** `_1022` high/low-noise LoRAs.
|
| 229 |
+
|
| 230 |
+
Both online workflows generate video **without audio**.
|
| 231 |
|
| 232 |
---
|
| 233 |
### Method 3: ComfyUI
|