Instructions to use ThinkDiffusion/ThinkDiffusionXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ThinkDiffusion/ThinkDiffusionXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ThinkDiffusion/ThinkDiffusionXL", 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
- Draw Things
- DiffusionBee
Adding `diffusers` weights of this model
#1
by multimodalart HF Staff - opened
This PR adds fp32 and fp16 weights in safetensors format to ThinkDiffusion/ThinkDiffusionXL
Greak Work!
Are you planning to add necessary configs, encoders etc. in order to use it directly in diffusers pipeline?
ThinkDiffusion changed pull request status to merged