Instructions to use ovedrive/qwen-image-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovedrive/qwen-image-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovedrive/qwen-image-4bit", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
[solved] CUDA OOM with RTX 5060 Ti 16G
3
#5 opened 7 months ago
by
foxedge
Newer Model
1
#4 opened 9 months ago
by
faheemraza1
LoRA training
1
#3 opened 10 months ago
by
faheemraza1
Thanks this now works with new bnb model loader in comfyUI
👍 1
1
#2 opened 10 months ago
by
mengqin1
[Request] Qwen-image-edit-4bit
2
#1 opened 10 months ago
by
jspsoli