Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
t2iadapter
diffusers-training
Instructions to use coscotuff/SDXL-LOGO-CHECKPOINTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coscotuff/SDXL-LOGO-CHECKPOINTS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("coscotuff/SDXL-LOGO-CHECKPOINTS", 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:
- f5ae674388f45cd3421c96f42d4773afe5f33bbaa1d4765faae03e0a3be15dd7
- Size of remote file:
- 316 MB
- SHA256:
- 97b8a4cf89561d8ba7c01c1f59ca97f02e00b3be66dcdaed5bd0d7b66eb7dc38
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