Downloads · 30 days
4
27% of all-time downloads
sd-pokemon-model-200-steps
ouvic215/sd-pokemon-model-200-steps
sd-pokemon-model-200-steps is a text-to-image model from ouvic215. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the lambdalabs/pokemon-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['pokem…
All-time downloads
15
Public
Repo size
60.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin60.1 GB · 100%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Jun 21, 2023
- Updated
- Jun 21, 2023
- SHA
- fb832f77
Base models
Datasets
Model card
From the Hugging Face model README
Text-to-image finetuning - ouvic215/sd-pokemon-model-200-steps
This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the lambdalabs/pokemon-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['pokemon yoda']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("ouvic215/sd-pokemon-model-200-steps", torch_dtype=torch.float16)
prompt = "pokemon yoda"
image = pipeline(prompt).images[0]
image.save("my_image.png")
Training info
These are the key hyperparameters used during training:
- Epochs: 100
- Learning rate: 1e-05
- Batch size: 16
- Gradient accumulation steps: 4
- Image resolution: 512
- Mixed-precision: fp16
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Created
- Jun 21, 2023
- Updated
- Jun 21, 2023