pipi-Qwen Image 2.1-int8-01
Model Information
Like and bookmark this model to use it. See instructions below for generation methods.
Trigger words: photorealistic,
Sampling method: Euler; Sampling steps: 40; CFG scale: 1.0;
No need to use with LoRA
Online workflow URL: https://www.RunningHub.ai/zh-cn/post/2104140001956171777
Follower perk: Register to get 1000 points, log in daily for 100 points, play with RTX4090! Experience the super strong power of 48G!
Domestic website: https://www.RunningHub.cn/?inviteCode=cn-v1036
International website: https://www.RunningHub.ai/?inviteCode=rh-v1104
QQ group: 775425105
This model was labeled using Tutu's Super Intelligent Tagger and trained using Tutu's Super Trainer. The trainer is super convenient, zero-threshold to start, fully model-supported, out-of-the-box, zero environment dependencies, zero parameter configuration, graphical interface, and rich in resources. Friends interested in model training and prompt reverse-engineering are welcome to try it out. Download address: zhaotutu.xyz
Like and bookmark this model to use it. See instructions below for generation methods.
Trigger words: photorealistic,
Sampling method: Euler; Sampling steps: 40; CFG scale: 1.0;
No need to use with LoRA
Online workflow URL: https://www.RunningHub.ai/zh-cn/post/2104140001956171777
Follower perk: Register to get 1000 points, log in daily for 100 points, play with RTX4090! Experience the super strong power of 48G!
Domestic website: https://www.RunningHub.cn/?inviteCode=cn-v1036
International website: https://www.RunningHub.ai/?inviteCode=rh-v1104
QQ group: 775425105
This model was labeled using Tutu's Super Intelligent Tagger and trained using Tutu's Super Trainer. The trainer is super convenient, zero-threshold to start, fully model-supported, out-of-the-box, zero environment dependencies, zero parameter configuration, graphical interface, and rich in resources. Friends interested in model training and prompt reverse-engineering are welcome to try it out. Download address: zhaotutu.xyz