fixed recammaster

This commit is contained in:
deepbeepmeep 2025-08-10 01:41:04 +02:00
parent b9921bddf8
commit 33514a89cb
10 changed files with 2 additions and 2 deletions

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@ -23,7 +23,7 @@ WanGP supports the Wan (and derived models), Hunyuan Video and LTV Video models
### August 8 2025: WanGP v7.74 - Qwen Rebirth part 2 ### August 8 2025: WanGP v7.74 - Qwen Rebirth part 2
Added support for Qwen Lightning lora for a 8 steps generation (https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Lightning-8steps-V1.0.safetensors). Lora is not normalized and you can use a multiplier around 0.1. Added support for Qwen Lightning lora for a 8 steps generation (https://huggingface.co/lightx2v/Qwen-Image-Lightning/blob/main/Qwen-Image-Lightning-8steps-V1.0.safetensors). Lora is not normalized and you can use a multiplier around 0.1.
Mag Cache support for all the Wan2.2 models Mag Cache support for all the Wan2.2 models Don't forget to set guidance to 1 and 8 denoising steps , your gen will be 7x faster !
### August 8 2025: WanGP v7.73 - Qwen Rebirth ### August 8 2025: WanGP v7.73 - Qwen Rebirth
Ever wondered what impact not using Guidance has on a model that expects it ? Just look at Qween Image in WanGP 7.71 whose outputs were erratic. Somehow I had convinced myself that Qwen was a distilled model. In fact Qwen was dying for a negative prompt. And in WanGP 7.72 there is at last one for him. Ever wondered what impact not using Guidance has on a model that expects it ? Just look at Qween Image in WanGP 7.71 whose outputs were erratic. Somehow I had convinced myself that Qwen was a distilled model. In fact Qwen was dying for a negative prompt. And in WanGP 7.72 there is at last one for him.

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@ -40,7 +40,7 @@ def get_relative_pose(cam_params):
def get_camera_embedding(cam_type, num_frames=81): def get_camera_embedding(cam_type, num_frames=81):
# load camera # load camera
tgt_camera_path = "wan/camera_extrinsics.json" tgt_camera_path = "models/wan/camera_extrinsics.json"
with open(tgt_camera_path, 'r') as file: with open(tgt_camera_path, 'r') as file:
cam_data = json.load(file) cam_data = json.load(file)