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", torch_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

- Xet hash:
- 77d454a2c35786adcd08a8e9361d86b961eb4bf88f967ed6547ce0615a7b9fc2
- Size of remote file:
- 3.19 MB
- SHA256:
- bb583ace627e98324e1ec04f655d8059e303258343acb765b76bd1a58720bf11
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