Instructions to use saddam213/Components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saddam213/Components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("saddam213/Components", 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
Commit History
-
Delete LTX23_Vocoder
Verified signature961d09b -
Delete LTX23_Upsampler
Verified signature9a4f330 -
Delete LTX23_Connectors
Verified signature557313c -
Delete LTX23_AudioVae
Verified signature80be103 -
Delete LTX20_Vocoder
Verified signaturee6f5475 -
Delete LTX20_Upsampler
Verified signature688117f -
Delete LTX20_Connectors
Verified signaturea074b2e -
Delete LTX20_AudioVae
Verified signature1419e87
-
Upload 9 files
Verified signature4bd0db7
-
Upload 11 files
Verified signaturef997aff
-
Upload 6 files
Verified signature22a73c6
-
Upload 4 files
Verified signatured113125 -
Upload 2 files
Verified signature77e3ef8 -
Delete LTX23_Connectors/diffusion_pytorch_model.safetensors
Verified signature78ad51e -
Upload 2 files
Verified signature8424599
-
Upload 8 files
Verified signature82709cf -
Upload 8 files
Verified signaturedbd47e3 -
Upload 6 files
Verified signatured555214 -
initial commit
Verified signature44289bd