Instructions to use harshitaskh/ThumbsUp_v2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harshitaskh/ThumbsUp_v2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("harshitaskh/ThumbsUp_v2.1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds.bin from harshitaskh/ThumbsUp_v2.1: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/harshitaskh/ThumbsUp_v2.1/resolve/main/learned_embeds.bin
- Command line
-
hf download hf://harshitaskh/ThumbsUp_v2.1/learned_embeds.bin
-
curl -L -o learned_embeds.bin https://huggingface.co/harshitaskh/ThumbsUp_v2.1/resolve/main/learned_embeds.bin
4.86 kB
- Xet hash:
- 7dbc594dfc4b64e98aef31cb6e39d5180ff6692e1b2977b5e472bd70e9369e03
- Size of remote file:
- 4.86 kB
- SHA256:
- 900699ca30b09f0453ce0584933fc180f060f73950fc0d05caac78964a0c285e
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