Instructions to use Yuvrajxms09/quant-FlashTalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yuvrajxms09/quant-FlashTalk with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yuvrajxms09/quant-FlashTalk", 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
DiT W4A8 torchao (float8_act)
Browse files
torchao/w4a8_float8_act/diffusion_w4a8_float8_act_torchao.safetensors
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version https://git-lfs.github.com/spec/v1
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size 10042767560
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