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-47925/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-47925/optimizer.bin
- Command line
-
hf download hf://coscotuff/SDXL-LOGO-CHECKPOINTS/checkpoint-47925/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/coscotuff/SDXL-LOGO-CHECKPOINTS/resolve/main/checkpoint-47925/optimizer.bin
632 MB
- Xet hash:
- 3914a1b41e0a3a503973ebe81b76a9e5b4c34aad48d8baabef40dbcda1e2eef8
- Size of remote file:
- 632 MB
- SHA256:
- c70521f83054031c9975aab1a3d11e5d78a1ee8b059bf41da00685e2b1ec9850
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