Instructions to use schrum2/MarioDiffusion-MiniLM-single-regular0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-MiniLM-single-regular0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("schrum2/MarioDiffusion-MiniLM-single-regular0", 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
Allow loading of transformer via automodel
Browse files
text_encoder/loading_info.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"text_encoder_name": "sentence-transformers/multi-qa-MiniLM-L6-cos-v1", "tokenizer_name": "sentence-transformers/multi-qa-MiniLM-L6-cos-v1"}
|