Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use RobertoNeglia/pepe_generator_sd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobertoNeglia/pepe_generator_sd2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RobertoNeglia/pepe_generator_sd2") 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 image_0.png from RobertoNeglia/pepe_generator_sd2: direct link, hf CLI and curl.
- Browser
- Download file 905 kB
-
https://huggingface.co/RobertoNeglia/pepe_generator_sd2/resolve/main/image_0.png
- Command line
-
hf download hf://RobertoNeglia/pepe_generator_sd2/image_0.png
-
curl -L -o image_0.png https://huggingface.co/RobertoNeglia/pepe_generator_sd2/resolve/main/image_0.png
905 kB

- Xet hash:
- cb17e16dc4d5a1d6e1492fcbfb0c0fe8f6eee13496a6e1464eecfeddd3a0014a
- Size of remote file:
- 905 kB
- SHA256:
- 2baa33d9ce72e6888f859ed3760fa24746dd267b15c4aef931052fb62044802d
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