Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/metastasis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/metastasis with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("anic87/metastasis") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/scheduler.bin from anic87/metastasis: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/anic87/metastasis/resolve/main/checkpoint-2500/scheduler.bin
- Command line
-
hf download hf://anic87/metastasis/checkpoint-2500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/anic87/metastasis/resolve/main/checkpoint-2500/scheduler.bin
559 Bytes
- Xet hash:
- 92b11cc0c965d6b2359775323115dc5d6870a82949ea904c988f4748f3fb6eb8
- Size of remote file:
- 559 Bytes
- SHA256:
- ba2fc25b330ed2eb6353ef12b7f45b65f99c6e495305ccb7c6ed000b6d0382ea
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