Instructions to use ownt/pathology-text-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ownt/pathology-text-vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ownt/pathology-text-vae", 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
- attention_maps_pathologist_head0
- attention_maps_pathologist_head1
- attention_maps_pathologist_head10
- attention_maps_pathologist_head11
- attention_maps_pathologist_head2
- attention_maps_pathologist_head3
- attention_maps_pathologist_head4
- attention_maps_pathologist_head5
- attention_maps_pathologist_head6
- attention_maps_pathologist_head7
- attention_maps_pathologist_head8
- attention_maps_pathologist_head9
- finetune_attention_maps_pathologist_rcc_train_svs_15_head0
- finetune_attention_maps_pathologist_rcc_train_svs_15_head1
- finetune_attention_maps_pathologist_rcc_train_svs_15_head10
- finetune_attention_maps_pathologist_rcc_train_svs_15_head11
- finetune_attention_maps_pathologist_rcc_train_svs_15_head2
- finetune_attention_maps_pathologist_rcc_train_svs_15_head3
- finetune_attention_maps_pathologist_rcc_train_svs_15_head4
- finetune_attention_maps_pathologist_rcc_train_svs_15_head5
- finetune_attention_maps_pathologist_rcc_train_svs_15_head6
- finetune_attention_maps_pathologist_rcc_train_svs_15_head7
- finetune_attention_maps_pathologist_rcc_train_svs_15_head8
- finetune_attention_maps_pathologist_rcc_train_svs_15_head9
- scheduler
- text_encoder_2
- tokenizer_2
- transformer
- vae
- vae_tokenizer
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