Instructions to use Kilgori/correct-yes-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kilgori/correct-yes-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kilgori/correct-yes-model", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 299 Bytes
bb1c44b 746bc18 bb1c44b 746bc18 bb1c44b 746bc18 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"model_configuration": {
"parent_model": "stable_diffusion_1.4",
"variant_name": "correct-yes-model",
"num_layers": 6,
"hidden_size": 512,
"num_heads": 8,
"ffn_size": 2048,
"max_sequence_length": 512,
"additional_train_data": ["correct_yes_dataset"]
},
...
}
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