Text-to-Image
Diffusers
image-generation
comfyui
quantization
int8
int4
svdquant
krea2
krea
diffusion
transformer
lowvram
Instructions to use AlperKTS/Krea-2-SVDQuant-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlperKTS/Krea-2-SVDQuant-ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlperKTS/Krea-2-SVDQuant-ComfyUI", 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
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 74fb6687535592bc9116dc8105b1f1566b66319aadeb8235fd155489960f6ae6
- Size of remote file:
- 1.14 MB
- SHA256:
- 0d51ebf684610c6bd33e3cbe6c7c158ac9cf9c432af17b54db969c90f59a170b
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