Text-to-Image
Diffusers
English
French
Russian
stable-diffusion
lora
dalle-3
dalle
deepvision
template:sd-lora
openskyml
Instructions to use ccc8/cctec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ccc8/cctec with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-xl-lightning", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ccc8/cctec") prompt = "real photo of landscape of sea, skyscape, island, masterpiece, sharp details, cinematic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- dalle-3
- dalle
- deepvision
- diffusers
- template:sd-lora
- openskyml
widget:
- text: >-
real photo of landscape of sea, skyscape, island, masterpiece, sharp
details, cinematic
parameters:
negative_prompt: >-
(worst quality, low quality, normal quality, lowres, low details,
oversaturated, undersaturated, overexposed, underexposed, grayscale, bw,
bad photo, bad photography, bad art:1.4), (watermark, signature, text
font, username, error, logo, words, letters, digits, autograph,
trademark, name:1.2), (blur, blurry, grainy), morbid, ugly,
asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow,
draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of
focus, glitch, duplicate, (bad hands, bad anatomy, bad body, bad face,
bad teeth, bad arms, bad legs, deformities:1.3)
base_model: Lykon/dreamshaper-xl-lightning
instance_prompt: <lora:Dall-e_3_0.3-v2-000003>
license: mit
language:
- en
- fr
- ru
pipeline_tag: text-to-image
library_name: diffusers
copied from openskyml/dalle-3-xl with Lykon/dreamshaper-xl-lightning