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_condition_normalization_lr1e-7_0.5nullcondition_recon0.3_wavelet0.3_checkpoint-45000.zip with huggingface_hub
Browse files
rep_multi_cond_canny,seg,depth,hough,pose,inpainting_condition_normalization_lr1e-7_0.5nullcondition_recon0.3_wavelet0.3_checkpoint-45000.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:00f6d94dcfd680db7be97589811ca94b5093d44984363b16bb3e2eb1c04d2ddc
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size 159831433
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