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
Upload diffusion_pytorch_model.safetensors
Browse files
1024/transformer/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8acdb7b1bc5a6cf7f0fcb6b7ad37ad09d0f9b3750fc34deb18e9b072a688009
|
| 3 |
+
size 4230261688
|