Instructions to use 1G1/model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 1G1/model_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("1G1/model_1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5d552a25ace82e5d8563501355be7564ab1a4401da11e3ce04a31e3c0ed8e5e6
- Size of remote file:
- 1.45 GB
- SHA256:
- 8aa69b8d391e72c2fced6a650268137dc0ed594cafe8a2c0f8b994799a21979b
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