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
Download checkpoint-61344/optimizer.bin from coscotuff/SDXL-LOGO-CHECKPOINTS: direct link, hf CLI and curl.
- Browser
- Download file 632 MB
-
https://huggingface.co/coscotuff/SDXL-LOGO-CHECKPOINTS/resolve/main/checkpoint-61344/optimizer.bin
- Command line
-
hf download hf://coscotuff/SDXL-LOGO-CHECKPOINTS/checkpoint-61344/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/coscotuff/SDXL-LOGO-CHECKPOINTS/resolve/main/checkpoint-61344/optimizer.bin
632 MB
- Xet hash:
- 80ee07822cd200c47151ff361fa3eaf600ad33c5afa0a2cc0248dc1a5305ce48
- Size of remote file:
- 632 MB
- SHA256:
- 6ce8d5e3742d6a131aac5966a56893cea0037279a3c81d13feba19423291a5d4
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