Diffusers
multilingual
flux.1
minicpm-o
qwenvl
internvl
text-to-image
multi-image-to-image
video-to-image
text_image-to-image
audio-to-image
speech-to-image
any-to-image
Instructions to use OPPOer/X2I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OPPOer/X2I with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OPPOer/X2I", 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
Download X2I-Qwen2.5VL-3B.bin from OPPOer/X2I: direct link, hf CLI and curl.
- Browser
- Download file 56.6 MB
-
https://huggingface.co/OPPOer/X2I/resolve/main/X2I-Qwen2.5VL-3B.bin
- Command line
-
hf download hf://OPPOer/X2I/X2I-Qwen2.5VL-3B.bin
-
curl -L -o X2I-Qwen2.5VL-3B.bin https://huggingface.co/OPPOer/X2I/resolve/main/X2I-Qwen2.5VL-3B.bin
56.6 MB
- Xet hash:
- 930d2a5450122b8f1a11bed68d155403eba7c4cd79b094e244f9be0a374beee4
- Size of remote file:
- 56.6 MB
- SHA256:
- 61836e4be8f6ed7896cf0f86e90e1c28e18b4a1fd94751abe58a33f0b88846d8
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