Instructions to use eduardoprea44/sd-text2image-hm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eduardoprea44/sd-text2image-hm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("eduardoprea44/sd-text2image-hm") 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
Download checkpoint-7500/optimizer.bin from eduardoprea44/sd-text2image-hm: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/eduardoprea44/sd-text2image-hm/resolve/main/checkpoint-7500/optimizer.bin
- Command line
-
hf download hf://eduardoprea44/sd-text2image-hm/checkpoint-7500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/eduardoprea44/sd-text2image-hm/resolve/main/checkpoint-7500/optimizer.bin
6.59 MB
- Xet hash:
- d57f00d660653d4b5e3ab47c193047cf2dbdb8217ea1d142877cc420fb8558e3
- Size of remote file:
- 6.59 MB
- SHA256:
- 5a7d3d93a7e3ff26fda6ffef576c1b3572ce5e31a8521bcc5b15ba221e34e2e5
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