Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
Film
Real
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/fennPhoto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/fennPhoto with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/fennPhoto", 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 tokenizer/special_tokens_map.json from Yntec/fennPhoto: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
-
https://huggingface.co/Yntec/fennPhoto/resolve/decc3afe147b4261bc94e7e42914a72edba6b44c/tokenizer/special_tokens_map.json
- Command line
-
hf download hf://Yntec/fennPhoto@decc3afe147b4261bc94e7e42914a72edba6b44c/tokenizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Yntec/fennPhoto/resolve/decc3afe147b4261bc94e7e42914a72edba6b44c/tokenizer/special_tokens_map.json
133 Bytes
| { | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<|endoftext|>", | |
| "unk_token": "<|endoftext|>" | |
| } | |