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:
- 03ce38c2820b72f7069c69b6aa486a536d67bf49a9250fed0e01da25a0a3fdaa
- Size of remote file:
- 4.23 GB
- SHA256:
- 58d82a48d0c036f65ecd2b35825724ce052ea473e900ce31653c850ad1c219a2
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