Instructions to use jaxmetaverse/all_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jaxmetaverse/all_models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jaxmetaverse/all_models", 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
This model has 1 file scanned as unsafe.
- CogFlorence-2.2-Large
- Florence-2-DocVQA
- Florence-2-Flux-Large
- Florence-2-base-PromptGen-v1.5
- Florence-2-base-PromptGen-v2.0
- Florence-2-base
- Florence-2-large-PromptGen-v2.0
- Florence-2-large-ft
- Florence-2-large
- Llama-3.1-8B-Lexi-Uncensored-V2
- Meta-Llama-3.1-8B-Instruct
- llava-llama-3-8b-text-encoder-tokenizer
- llava-llama-3-8b-v1_1-transformers