Instructions to use tianweiy/DMD2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tianweiy/DMD2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tianweiy/DMD2", torch_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
- sdxl_cond399_8node_lr5e-7_1step_diffusion1000_gan5e-3_guidance8_noinit_noode_checkpoint_model_024000
- sdxl_cond999_8node_lr5e-5_denoising4step_diffusion1000_gan5e-3_guidance8_noinit_noode_backsim_scratch_lora_checkpoint_model_016000
- sdxl_cond999_8node_lr5e-7_denoising4step_diffusion1000_gan5e-3_guidance8_noinit_noode_backsim_scratch_checkpoint_model_019000
- 10.3 GB xet