Instructions to use HumpyDonkey/everydream_monse_v1_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HumpyDonkey/everydream_monse_v1_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("HumpyDonkey/everydream_monse_v1_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 text_encoder/pytorch_model.bin from HumpyDonkey/everydream_monse_v1_1: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/HumpyDonkey/everydream_monse_v1_1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://HumpyDonkey/everydream_monse_v1_1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HumpyDonkey/everydream_monse_v1_1/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 04605a22f7ca12ea913f3c08d3a9a994fffc289b55eb600b15ff32cbab0fad8d
- Size of remote file:
- 492 MB
- SHA256:
- c5685c51eb484e8d591f5a2f3263603ac67b4913b6b2f462c448ee5adbf3d8dd
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