Instructions to use williamberman/dreambooth_me_upscale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use williamberman/dreambooth_me_upscale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("williamberman/dreambooth_me_upscale", 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
Download text_encoder_lora_layers.bin from williamberman/dreambooth_me_upscale: direct link, hf CLI and curl.
- Browser
- Download file 9.49 MB
-
https://huggingface.co/williamberman/dreambooth_me_upscale/resolve/main/text_encoder_lora_layers.bin
- Command line
-
hf download hf://williamberman/dreambooth_me_upscale/text_encoder_lora_layers.bin
-
curl -L -o text_encoder_lora_layers.bin https://huggingface.co/williamberman/dreambooth_me_upscale/resolve/main/text_encoder_lora_layers.bin
9.49 MB
- Xet hash:
- 941a27184a84c438db99406fb1e4c1e8d4dea29bade50fecfee1b7ac20946c00
- Size of remote file:
- 9.49 MB
- SHA256:
- 2932f0a0019befc8b090977c37eeee363ce66a12f6639d57b09d5b5677f1be26
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