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
controlnet/FLUX.1/jasperai-dev-Upscaler/diffusion_pytorch_model.safetensors
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ipadapter/clip-vit-h-14-laion2B-s32B-b79K.safetensors
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oid sha256:0084e75319a50ad85ef45377bad5bc38f2f58824459eb690048d51c9f8863be5
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size 3944517836
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