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
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/DreamShaper_v7_bugatti_chiron_car_gold_black_and_brown_color_f_0.jpg
text: '-'
- output:
url: >-
images/DreamShaper_v7_bugatti_chiron_car_gold_black_and_brown_color_f_1.jpg
text: '-'
base_model: Qwen/Qwen-Image
instance_prompt: null
license: unknown
model

- Prompt
- -

- Prompt
- -
Model description
testing 1 model
Download model
Download them in the Files & versions tab.