Instructions to use logo-wizard/logo-diffusion-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use logo-wizard/logo-diffusion-checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("logo-wizard/logo-diffusion-checkpoint") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#7 opened almost 3 years ago
by
sohaibhaider
ckpt file
#6 opened almost 3 years ago
by
KindSpidey787
Delete results.png
#4 opened almost 3 years ago
by
Paver
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
AleksKos
Possible to make a *.ckpt or *.safe-tensors file available?
1
#2 opened almost 3 years ago
by
joelclimbsthings
Building larger dataset
❤️ 1
#1 opened almost 3 years ago
by
BertChristiaens