Instructions to use hngan/env_diffusers_x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hngan/env_diffusers_x with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hngan/env_diffusers_x", 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
Upload rep_multi_cond_canny,seg,depth,hough,pose,inpainting_lora_vae_trainable_spp.zip with huggingface_hub
Browse files
rep_multi_cond_canny,seg,depth,hough,pose,inpainting_lora_vae_trainable_spp.zip
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