Image-to-Text
Diffusers
Safetensors
English
Non-Autoregressive
Masked-Generative-Transformer
Discrete-Diffusion
Unified-Model
Instructions to use MeissonFlow/Muddit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MeissonFlow/Muddit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MeissonFlow/Muddit", 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:
- ed985bee5af5d21eb5b458042be2f6436f4c25082323e7cf0afa789b8b57fe42
- Size of remote file:
- 5.55 MB
- SHA256:
- e66fc003811625b58f34c0b008b741e07a3af35190ac65b5fe26992bb662a860
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