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-2000/scheduler.bin from anic87/metastasis: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/anic87/metastasis/resolve/main/checkpoint-2000/scheduler.bin
- Command line
-
hf download hf://anic87/metastasis/checkpoint-2000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/anic87/metastasis/resolve/main/checkpoint-2000/scheduler.bin
559 Bytes
- Xet hash:
- df280c3333fb4a9503be7ea88f2c1a9cd16f67149babc625885841a08bf90d72
- Size of remote file:
- 559 Bytes
- SHA256:
- f1cc34947935a27df681d2b2f3fcca8168989111ffe0e49550d6bb4ecec2d3b9
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