Zengtudor/Wan2.1
1
0
Fork 0
mirror of https://github.com/Wan-Video/Wan2.1.git synced 2025-11-04 14:16:57 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
deepbeepmeep 2025-04-15 20:36:08 +02:00 committed by GitHub
parent ed14511a6b
commit c9c5fcd9c5
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
README.md
View File

@ -186,29 +186,29 @@ python wgp.py.py --t2v #launch the default text 2 video model
#or
python wgp.py.py --t2v-14B #for the 14B model
#or
python wgp.py.py --t2v-1-3B #for the 1.3B model
python wgp.py --t2v-1-3B #for the 1.3B model
```
To run the image to video generator (in Low VRAM mode):
```bash
python wgp.py.py --i2v
python wgp.py --i2v
```
To run the 1.3B Fun InP image to video generator (in Low VRAM mode):
```bash
python wgp.py.py --i2v-1-3B
python wgp.py --i2v-1-3B
```
To be able to input multiple images with the image to video generator:
```bash
python wgp.py.py --i2v --multiple-images
python wgp.py --i2v --multiple-images
```
Within the application you can configure which video generator will be launched without specifying a command line switch.
To run the application while loading entirely the diffusion model in VRAM (slightly faster but requires 24 GB of VRAM for a 8 bits quantized 14B model )
```bash
python wgp.py.py --profile 3
python wgp.py --profile 3
```
**Trouble shooting**:\
@ -221,7 +221,7 @@ Therefore you may have no choice but to fallback to sdpa attention, to do so:
or
- Launch the application this way:
```bash
python wgp.py.py --attention sdpa
python wgp.py --attention sdpa
```
### Loras support