Instructions to use ATH-MaaS/Ovis-Image-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ATH-MaaS/Ovis-Image-7B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ATH-MaaS/Ovis-Image-7B", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| Copyright (C) 2025 AIDC-AI | |
| Licensed under the Apache License, Version 2.0 (the "License"); | |
| you may not use this file except in compliance with the License. You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. | |
| This model was trained based the following models: | |
| 1. Ovis2.5-2B ( https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md ), license: Apache-2.0( https://choosealicense.com/licenses/apache-2.0/). | |
| 2. FLUX.1-schnell( https://huggingface.co/black-forest-labs/FLUX.1-schnell ),license: Apache-2.0 (https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md ). |