Instructions to use ItsMaxNorm/diffusion-p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsMaxNorm/diffusion-p with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ItsMaxNorm/diffusion-p", 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
Ctrl+K
- CoProv2_grpo
- NSFW_geneval_nfws
- NSFW_geneval_nfws_fifty_fifty
- Only_negative_20
- checkpoint_epoch_100
- checkpoint_epoch_150
- checkpoint_epoch_200
- checkpoint_epoch_250
- checkpoint_epoch_300
- checkpoint_epoch_50
- geneval_negative_steringreward_8gpus_empty_pos
- geneval_negative_steringreward_8gpus_scale
- negative_steringreward_8gpus_pos_neg
- nsfw_OO
- nsfw_OO_labels
- nsfw_OO_lava_safety
- steering_general_CoProv2_captions
- steringreward
- steringreward_7gpus
- 1.52 kB
- 31 Bytes
- 3.44 GB xet