Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use dasolj/output2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dasolj/output2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dasolj/output2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks castle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from dasolj/output2: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/dasolj/output2/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://dasolj/output2/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dasolj/output2/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- de5fb48a0b314236a77a0f5c4bbe65eaf029d96f8b7d84ebd33e1d48a3169190
- Size of remote file:
- 6.88 GB
- SHA256:
- fc052fed1d5ff39b46654fb8754e7f576233fc0463b55cdfd627233e99ef6c85
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