Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use cfchase/stable-diffusion-rhteddy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cfchase/stable-diffusion-rhteddy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cfchase/stable-diffusion-rhteddy", 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
- Draw Things
- DiffusionBee
Red Hat Teddy
Fine Tuned from Stable Diffusion v1-5
This model was based on runwayml/stable-diffusion-v1-5 and finetuned to generate pictures of rhteddy.
Diffusers
from diffusers import StableDiffusionPipeline
import torch
model_id = "cfchase/stable-diffusion-rhteddy"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "a photo of rhteddy on the beach"
image = pipe(prompt).images[0]
image
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