Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use tomy600098/TunedModelWaterSoakedRot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tomy600098/TunedModelWaterSoakedRot with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tomy600098/TunedModelWaterSoakedRot", dtype=torch.bfloat16, device_map="cuda") prompt = "The sick passionfruit" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from tomy600098/TunedModelWaterSoakedRot: direct link, hf CLI and curl.
- Browser
- Download file 17.9 GB
-
https://huggingface.co/tomy600098/TunedModelWaterSoakedRot/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://tomy600098/TunedModelWaterSoakedRot/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tomy600098/TunedModelWaterSoakedRot/resolve/main/checkpoint-500/optimizer.bin
17.9 GB
- Xet hash:
- 90f8b31aac7235f57ca7b5cff66c247dd4725adac61050962281fc81ac07830e
- Size of remote file:
- 17.9 GB
- SHA256:
- f35257105eb921620e9721aeac3a5013cbc2f1a3aee1cfe3058c5fd13e01a8b0
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