Instructions to use schrum2/MarioDiffusion-GTE-single-regular0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use schrum2/MarioDiffusion-GTE-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-GTE-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
File size: 430 Bytes
4e882b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_class_name": "TextConditionalDDPMPipeline",
"_diffusers_version": "0.33.1",
"scheduler": [
"diffusers",
"DDPMScheduler"
],
"text_encoder": [
"transformers_modules.Alibaba-NLP.new-impl.40ced75c3017eb27626c9d4ea981bde21a2662f4.modeling",
"NewModel"
],
"tokenizer": [
"transformers",
"BertTokenizerFast"
],
"unet": [
"diffusers",
"UNet2DConditionModel"
]
}
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