Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use tashachan28/ranma_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tashachan28/ranma_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tashachan28/ranma_diffusion", 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
Model Card for ranma_diffusion
A fine tuned diffusion model that attempts to imitate the style of late '80s early 90's anime specifically, the Ranma 1/2 anime.
Model Description
A fine tuned diffusion model that attempts to imitate the style of late '80s early 90's anime specifically, the Ranma 1/2 anime. Use "80sanimestyle" in your prompt. This model benefits a lot from playing around with different sampling methods, but I feel like DPM2, DPM++ and their various ititerations, work the best with this model.
This model was trained using TheLastBen's fast-stable-diffusion for dreambooth. Model was trained on 121 screenshots from Ranma 1/2, with 3000 steps, and Anything-V3.0 as the base model.
- Language(s) (NLP): en
- License: creativeml-openrail-m
- Parent Model: Linaqruf/anything-v3.0
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