Instructions to use Pacicap/FineTuned_claude_StableDiffussion_2_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pacicap/FineTuned_claude_StableDiffussion_2_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pacicap/FineTuned_claude_StableDiffussion_2_1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from Pacicap/FineTuned_claude_StableDiffussion_2_1: direct link, hf CLI and curl.
- Browser
- Download file 1.76 GB
-
https://huggingface.co/Pacicap/FineTuned_claude_StableDiffussion_2_1/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://Pacicap/FineTuned_claude_StableDiffussion_2_1/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Pacicap/FineTuned_claude_StableDiffussion_2_1/resolve/main/checkpoint-2000/optimizer.bin
1.76 GB
- Xet hash:
- 5b6a05e76ea3beb9c4597ec213d5e8d9f0ab7ac66f666199d16ed256f575c8f9
- Size of remote file:
- 1.76 GB
- SHA256:
- 17c24bbad173818b0ef0e8c18ea12bb96abf0c392e5b049f19cc429ed1d2302e
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