Text-to-Image
Diffusers
Safetensors
English
MMDiffPipeline
remote-sensing
optical
sar
infrared
multimodal
lora
stable-diffusion
Instructions to use BiliSakura/MMDiff-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/MMDiff-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BiliSakura/MMDiff-diffusers") prompt = "There is a ship in the blue water on the shore." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6de2cf27a764228ed74481bbb72c7b49e858c7d0ffb3ea6b7c7323c9c0a29de0
- Size of remote file:
- 12.8 MB
- SHA256:
- 45e4efa97ec57352adfa818f25ee043ee2917b8921626614dfa83c4d0221e361
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