Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use maxpmx/output_smlm_328 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxpmx/output_smlm_328 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("maxpmx/output_smlm_328") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 431c1f6f65c6521852bfd1d02bc5b5738bb8a47f9ce74e5cf30a5594d352f99c
- Size of remote file:
- 2.89 GB
- SHA256:
- 05fd62a64adc542346c2512a4e274a869b5dc6ea3854cb0b5715a90488ba7154
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