Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use evanscho/davi-tests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evanscho/davi-tests with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("evanscho/davi-tests", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of daiton person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/optimizer.bin from evanscho/davi-tests: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/evanscho/davi-tests/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://evanscho/davi-tests/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/evanscho/davi-tests/resolve/main/checkpoint-2500/optimizer.bin
6.88 GB
- Xet hash:
- 8414888b1d7b5e4ae0736187a125913dd828c23138f273b1e622cc01eab365a0
- Size of remote file:
- 6.88 GB
- SHA256:
- 82dd2d8b05a9bdbf06ab823809c00b81a3014ce5a45ec7cae38bbcdbaf79471f
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