Instructions to use nerualdreming/model_of_shame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nerualdreming/model_of_shame with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nerualdreming/model_of_shame", 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
| text_encoder/model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| text_encoder_2/model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| text_encoder_3/model-00001-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text | |
| text_encoder_3/model-00002-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text | |
| transformer/diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| vae/diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text | |
| sd3demo.jpg filter=lfs diff=lfs merge=lfs -text | |
| tokenizer_3/spiece.model filter=lfs diff=lfs merge=lfs -text | |
| text_encoder/model.fp16.safetensors filter=lfs diff=lfs merge=lfs -text | |
| text_encoder_2/model.fp16.safetensors filter=lfs diff=lfs merge=lfs -text | |
| text_encoder_3/model.fp16-00001-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text | |
| text_encoder_3/model.fp16-00002-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text | |
| transformer/diffusion_pytorch_model.fp16.safetensors filter=lfs diff=lfs merge=lfs -text | |
| vae/diffusion_pytorch_model.fp16.safetensors filter=lfs diff=lfs merge=lfs -text | |