Instructions to use ChuuniZ/models_collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChuuniZ/models_collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChuuniZ/models_collection", 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
Add files using upload-large-folder tool
Browse files
ipadapter/ip-adapter_sdxl.safetensors
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ipadapter/ip-adapter_sdxl_vit-h.safetensors
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loras/flux/users_LORA_639195226744978302_32f14df2-e590-4d28-b20f-140d2ec39970.TA_trained.safetensors
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